----------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  C:\Users\stanl\Dropbox\Data\ANES\ANES2012\Merged\Measurement\Crosslagged.lo
> g
  log type:  text
 opened on:  19 Mar 2021, 14:46:13


. runmplus auth11 auth12 auth13 auth14 auth21 auth22 auth23 auth24 pid1 ft_dem ft_rep, c
> ategorical(auth11 auth12 auth13 auth14 auth21 auth22 auth23 auth24 pid1) model(Party b
> y pid1 ft_dem ft_rep; Auth1 by auth11 auth12 auth13 auth14 (a1-a4) ; Auth2 by auth21 a
> uth22 auth23 auth24 (a1-a4) ; auth11 auth12 auth13 auth14 pwith auth21 auth22 auth23 a
> uth24; [auth11$1] (t1); [auth21$1] (t1); [auth12$1] (t2); [auth22$1] (t2); [auth13$1] 
> (t3); [auth23$1] (t3); [auth14$1] (t4); [auth24$1] (t4); Auth2 on Auth1 Party; [Auth2]
> ; ) stand
THE MODEL ESTIMATION TERMINATED NORMALLY
Mplus VERSION 7.11
MUTHEN & MUTHEN
03/19/2021   2:48 PM

INPUT INSTRUCTIONS

  TITLE:
    Variable List -

    auth11 : RECODE of auth_ind (POST: Child trait more important: independence or respe
> ct)
    auth12 : RECODE of auth_obed (POST: Child trait more important: obedience or self-re
> lian
    auth13 : RECODE of auth_cur (POST: Child trait more important: curiosity or good man
> ners
    auth14 : RECODE of auth_consid (POST: Child trait more important: considerate or wel
> l-be
    auth21 : RECODE of C5_H1 (Please tell us which one you think is more important for a
>  chi
    auth22 : RECODE of C5_H2 (Please tell us which one you think is more important for a
>  chi
    auth23 : RECODE of C5_H3 (Please tell us which one you think is more important for a
>  chi
    auth24 : RECODE of C5_H4 (Please tell us which one you think is more important for a
>  chi
    pid1 : RECODE of pid_x (PRE: SUMMARY- Party ID)
    ft_dem : PRE: Feeling Thermometer: Democratic Party
    ft_rep : PRE: Feeling Thermometer: Republican Party

  DATA:
    FILE = __000001.dat ;
  VARIABLE:
    NAMES =
      auth11 auth12 auth13 auth14 auth21 auth22 auth23 auth24 pid1
  ft_dem ft_rep ;
    MISSING ARE ALL (-9999) ;
    CATEGORICAL =
      auth11
      auth12
      auth13
      auth14
      auth21
      auth22
      auth23
      auth24
      pid1
      ;
  ANALYSIS:
  OUTPUT:
     STANDARDIZED ;
  MODEL:
  Party by pid1 ft_dem ft_rep ;
  Auth1 by auth11 auth12 auth13 auth14 (a1-a4)  ;
  Auth2 by auth21 auth22 auth23 auth24 (a1-a4)  ;
  auth11 auth12 auth13 auth14 pwith auth21 auth22 auth23 auth24 ;
  [auth11$1] (t1) ;
  [auth21$1] (t1) ;
  [auth12$1] (t2) ;
  [auth22$1] (t2) ;
  [auth13$1] (t3) ;
  [auth23$1] (t3) ;
  [auth14$1] (t4) ;
  [auth24$1] (t4) ;
  Auth2 on Auth1 Party ;
  [Auth2] ;




*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    auth12 : RECODE of auth_obed (POST: Child trait more important: obedience or self-re
> lianc
*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    auth13 : RECODE of auth_cur (POST: Child trait more important: curiosity or good man
> ners)
*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    auth14 : RECODE of auth_consid (POST: Child trait more important: considerate or wel
> l-beh
*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    auth21 : RECODE of C5_H1 (Please tell us which one you think is more important for a
>  chil
*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    auth22 : RECODE of C5_H2 (Please tell us which one you think is more important for a
>  chil
*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    auth23 : RECODE of C5_H3 (Please tell us which one you think is more important for a
>  chil
*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    auth24 : RECODE of C5_H4 (Please tell us which one you think is more important for a
>  chil
   7 WARNING(S) FOUND IN THE INPUT INSTRUCTIONS




Variable List -

auth11 : RECODE of auth_ind (POST: Child trait more important: independence or respect)
auth12 : RECODE of auth_obed (POST: Child trait more important: obedience or self-relian
auth13 : RECODE of auth_cur (POST: Child trait more important: curiosity or good manners
auth14 : RECODE of auth_consid (POST: Child trait more important: considerate or well-be
auth21 : RECODE of C5_H1 (Please tell us which one you think is more important for a chi
auth22 : RECODE of C5_H2 (Please tell us which one you think is more important for a chi
auth23 : RECODE of C5_H3 (Please tell us which one you think is more important for a chi
auth24 : RECODE of C5_H4 (Please tell us which one you think is more important for a chi
pid1 : RECODE of pid_x (PRE: SUMMARY- Party ID)
ft_dem : PRE: Feeling Thermometer: Democratic Party
ft_rep : PRE: Feeling Thermometer: Republican Party

SUMMARY OF ANALYSIS

Number of groups                                                 1
Number of observations                                        1635

Number of dependent variables                                   11
Number of independent variables                                  0
Number of continuous latent variables                            3

Observed dependent variables

  Continuous
   FT_DEM      FT_REP

  Binary and ordered categorical (ordinal)
   AUTH11      AUTH12      AUTH13      AUTH14      AUTH21      AUTH22
   AUTH23      AUTH24      PID1

Continuous latent variables
   PARTY       AUTH1       AUTH2


Estimator                                                    WLSMV
Maximum number of iterations                                  1000
Convergence criterion                                    0.500D-04
Maximum number of steepest descent iterations                   20
Maximum number of iterations for H1                           2000
Convergence criterion for H1                             0.100D-03
Parameterization                                             DELTA

Input data file(s)
  __000001.dat

Input data format  FREE


SUMMARY OF DATA

     Number of missing data patterns            17


COVARIANCE COVERAGE OF DATA

Minimum covariance coverage value   0.100


     PROPORTION OF DATA PRESENT


           Covariance Coverage
              AUTH11        AUTH12        AUTH13        AUTH14        AUTH21
              ________      ________      ________      ________      ________
 AUTH11         0.963
 AUTH12         0.962         0.962
 AUTH13         0.961         0.960         0.961
 AUTH14         0.963         0.961         0.961         0.963
 AUTH21         0.940         0.939         0.938         0.939         0.975
 AUTH22         0.941         0.940         0.939         0.940         0.974
 AUTH23         0.942         0.941         0.940         0.941         0.975
 AUTH24         0.941         0.940         0.939         0.940         0.974
 PID1           0.963         0.961         0.961         0.962         0.975
 FT_DEM         0.960         0.958         0.958         0.959         0.972
 FT_REP         0.960         0.958         0.958         0.959         0.972


           Covariance Coverage
              AUTH22        AUTH23        AUTH24        PID1          FT_DEM
              ________      ________      ________      ________      ________
 AUTH22         0.976
 AUTH23         0.976         0.977
 AUTH24         0.975         0.976         0.976
 PID1           0.976         0.977         0.976         0.999
 FT_DEM         0.972         0.973         0.972         0.994         0.995
 FT_REP         0.972         0.973         0.972         0.994         0.995


           Covariance Coverage
              FT_REP
              ________
 FT_REP         0.995


UNIVARIATE PROPORTIONS AND COUNTS FOR CATEGORICAL VARIABLES

    AUTH11
      Category 1    0.215      338.000
      Category 2    0.785     1237.000
    AUTH12
      Category 1    0.442      696.000
      Category 2    0.558      877.000
    AUTH13
      Category 1    0.315      495.000
      Category 2    0.685     1077.000
    AUTH14
      Category 1    0.657     1034.000
      Category 2    0.343      540.000
    AUTH21
      Category 1    0.271      432.000
      Category 2    0.729     1162.000
    AUTH22
      Category 1    0.487      776.000
      Category 2    0.513      819.000
    AUTH23
      Category 1    0.374      598.000
      Category 2    0.626      999.000
    AUTH24
      Category 1    0.676     1079.000
      Category 2    0.324      516.000
    PID1
      Category 1    0.225      367.000
      Category 2    0.145      237.000
      Category 3    0.105      171.000
      Category 4    0.142      232.000
      Category 5    0.099      161.000
      Category 6    0.128      209.000
      Category 7    0.157      257.000



THE MODEL ESTIMATION TERMINATED NORMALLY



MODEL FIT INFORMATION

Number of Free Parameters                       30

Chi-Square Test of Model Fit

          Value                            230.134*
          Degrees of Freedom                    43
          P-Value                           0.0000

*   The chi-square value for MLM, MLMV, MLR, ULSMV, WLSM and WLSMV cannot be used
    for chi-square difference testing in the regular way.  MLM, MLR and WLSM
    chi-square difference testing is described on the Mplus website.  MLMV, WLSMV,
    and ULSMV difference testing is done using the DIFFTEST option.

RMSEA (Root Mean Square Error Of Approximation)

          Estimate                           0.052
          90 Percent C.I.                    0.045  0.058
          Probability RMSEA <= .05           0.332

CFI/TLI

          CFI                                0.970
          TLI                                0.961

Chi-Square Test of Model Fit for the Baseline Model

          Value                           6194.386
          Degrees of Freedom                    55
          P-Value                           0.0000

WRMR (Weighted Root Mean Square Residual)

          Value                              1.587



MODEL RESULTS

                                                    Two-Tailed
                    Estimate       S.E.  Est./S.E.    P-Value

 PARTY    BY
    PID1               1.000      0.000    999.000    999.000
    FT_DEM            -2.220      0.097    -22.932      0.000
    FT_REP             2.360      0.112     20.982      0.000

 AUTH1    BY
    AUTH11             1.000      0.000    999.000    999.000
    AUTH12             1.090      0.046     23.517      0.000
    AUTH13             1.056      0.045     23.374      0.000
    AUTH14             0.697      0.043     16.360      0.000

 AUTH2    BY
    AUTH21             1.000      0.000    999.000    999.000
    AUTH22             1.090      0.046     23.517      0.000
    AUTH23             1.056      0.045     23.374      0.000
    AUTH24             0.697      0.043     16.360      0.000

 AUTH2    ON
    AUTH1              0.970      0.031     31.649      0.000
    PARTY             -0.025      0.022     -1.154      0.249

 AUTH1    WITH
    PARTY              0.141      0.024      5.818      0.000

 AUTH11   WITH
    AUTH21             0.227      0.035      6.551      0.000

 AUTH12   WITH
    AUTH22             0.153      0.030      5.041      0.000

 AUTH13   WITH
    AUTH23             0.167      0.032      5.264      0.000

 AUTH14   WITH
    AUTH24             0.400      0.035     11.551      0.000

 Intercepts
    FT_DEM             5.069      0.073     69.305      0.000
    FT_REP             4.217      0.070     60.393      0.000
    AUTH2             -0.133      0.019     -7.041      0.000

 Thresholds
    AUTH11$1          -0.765      0.031    -24.362      0.000
    AUTH12$1          -0.162      0.029     -5.543      0.000
    AUTH13$1          -0.471      0.030    -15.744      0.000
    AUTH14$1           0.385      0.028     13.677      0.000
    AUTH21$1          -0.765      0.031    -24.362      0.000
    AUTH22$1          -0.162      0.029     -5.543      0.000
    AUTH23$1          -0.471      0.030    -15.744      0.000
    AUTH24$1           0.385      0.028     13.677      0.000
    PID1$1            -0.757      0.034    -21.962      0.000
    PID1$2            -0.333      0.032    -10.519      0.000
    PID1$3            -0.064      0.031     -2.078      0.038
    PID1$4             0.296      0.032      9.387      0.000
    PID1$5             0.567      0.033     17.254      0.000
    PID1$6             1.006      0.037     26.865      0.000

 Variances
    PARTY              0.934      0.027     34.787      0.000
    AUTH1              0.518      0.037     13.927      0.000

 Residual Variances
    FT_DEM             3.894      0.175     22.206      0.000
    FT_REP             2.728      0.152     17.930      0.000
    AUTH2              0.077      0.021      3.651      0.000


STANDARDIZED MODEL RESULTS


STDYX Standardization

                                                    Two-Tailed
                    Estimate       S.E.  Est./S.E.    P-Value

 PARTY    BY
    PID1               0.967      0.014     69.575      0.000
    FT_DEM            -0.736      0.015    -49.848      0.000
    FT_REP             0.810      0.016     51.452      0.000

 AUTH1    BY
    AUTH11             0.720      0.026     27.853      0.000
    AUTH12             0.784      0.021     37.407      0.000
    AUTH13             0.760      0.023     33.155      0.000
    AUTH14             0.501      0.027     18.397      0.000

 AUTH2    BY
    AUTH21             0.747      0.025     29.583      0.000
    AUTH22             0.814      0.021     38.084      0.000
    AUTH23             0.789      0.022     35.219      0.000
    AUTH24             0.521      0.028     18.604      0.000

 AUTH2    ON
    AUTH1              0.934      0.021     44.747      0.000
    PARTY             -0.032      0.028     -1.155      0.248

 AUTH1    WITH
    PARTY              0.203      0.034      5.993      0.000

 AUTH11   WITH
    AUTH21             0.492      0.056      8.722      0.000

 AUTH12   WITH
    AUTH22             0.426      0.066      6.482      0.000

 AUTH13   WITH
    AUTH23             0.418      0.063      6.676      0.000

 AUTH14   WITH
    AUTH24             0.542      0.039     13.908      0.000

 Intercepts
    FT_DEM             1.739      0.045     39.007      0.000
    FT_REP             1.498      0.045     33.606      0.000
    AUTH2             -0.178      0.025     -7.009      0.000

 Thresholds
    AUTH11$1          -0.765      0.031    -24.362      0.000
    AUTH12$1          -0.162      0.029     -5.543      0.000
    AUTH13$1          -0.471      0.030    -15.744      0.000
    AUTH14$1           0.385      0.028     13.677      0.000
    AUTH21$1          -0.765      0.031    -24.362      0.000
    AUTH22$1          -0.162      0.029     -5.543      0.000
    AUTH23$1          -0.471      0.030    -15.744      0.000
    AUTH24$1           0.385      0.028     13.677      0.000
    PID1$1            -0.757      0.034    -21.962      0.000
    PID1$2            -0.333      0.032    -10.519      0.000
    PID1$3            -0.064      0.031     -2.078      0.038
    PID1$4             0.296      0.032      9.387      0.000
    PID1$5             0.567      0.033     17.254      0.000
    PID1$6             1.006      0.037     26.865      0.000

 Variances
    PARTY              1.000      0.000    999.000    999.000
    AUTH1              1.000      0.000    999.000    999.000

 Residual Variances
    FT_DEM             0.458      0.022     21.091      0.000
    FT_REP             0.344      0.026     13.486      0.000
    AUTH2              0.139      0.037      3.774      0.000


STDY Standardization

                                                    Two-Tailed
                    Estimate       S.E.  Est./S.E.    P-Value

 PARTY    BY
    PID1               0.967      0.014     69.575      0.000
    FT_DEM            -0.736      0.015    -49.848      0.000
    FT_REP             0.810      0.016     51.452      0.000

 AUTH1    BY
    AUTH11             0.720      0.026     27.853      0.000
    AUTH12             0.784      0.021     37.407      0.000
    AUTH13             0.760      0.023     33.155      0.000
    AUTH14             0.501      0.027     18.397      0.000

 AUTH2    BY
    AUTH21             0.747      0.025     29.583      0.000
    AUTH22             0.814      0.021     38.084      0.000
    AUTH23             0.789      0.022     35.219      0.000
    AUTH24             0.521      0.028     18.604      0.000

 AUTH2    ON
    AUTH1              0.934      0.021     44.747      0.000
    PARTY             -0.032      0.028     -1.155      0.248

 AUTH1    WITH
    PARTY              0.203      0.034      5.993      0.000

 AUTH11   WITH
    AUTH21             0.492      0.056      8.722      0.000

 AUTH12   WITH
    AUTH22             0.426      0.066      6.482      0.000

 AUTH13   WITH
    AUTH23             0.418      0.063      6.676      0.000

 AUTH14   WITH
    AUTH24             0.542      0.039     13.908      0.000

 Intercepts
    FT_DEM             1.739      0.045     39.007      0.000
    FT_REP             1.498      0.045     33.606      0.000
    AUTH2             -0.178      0.025     -7.009      0.000

 Thresholds
    AUTH11$1          -0.765      0.031    -24.362      0.000
    AUTH12$1          -0.162      0.029     -5.543      0.000
    AUTH13$1          -0.471      0.030    -15.744      0.000
    AUTH14$1           0.385      0.028     13.677      0.000
    AUTH21$1          -0.765      0.031    -24.362      0.000
    AUTH22$1          -0.162      0.029     -5.543      0.000
    AUTH23$1          -0.471      0.030    -15.744      0.000
    AUTH24$1           0.385      0.028     13.677      0.000
    PID1$1            -0.757      0.034    -21.962      0.000
    PID1$2            -0.333      0.032    -10.519      0.000
    PID1$3            -0.064      0.031     -2.078      0.038
    PID1$4             0.296      0.032      9.387      0.000
    PID1$5             0.567      0.033     17.254      0.000
    PID1$6             1.006      0.037     26.865      0.000

 Variances
    PARTY              1.000      0.000    999.000    999.000
    AUTH1              1.000      0.000    999.000    999.000

 Residual Variances
    FT_DEM             0.458      0.022     21.091      0.000
    FT_REP             0.344      0.026     13.486      0.000
    AUTH2              0.139      0.037      3.774      0.000


STD Standardization

                                                    Two-Tailed
                    Estimate       S.E.  Est./S.E.    P-Value

 PARTY    BY
    PID1               0.967      0.014     69.575      0.000
    FT_DEM            -2.145      0.082    -26.069      0.000
    FT_REP             2.281      0.093     24.642      0.000

 AUTH1    BY
    AUTH11             0.720      0.026     27.853      0.000
    AUTH12             0.784      0.021     37.407      0.000
    AUTH13             0.760      0.023     33.155      0.000
    AUTH14             0.501      0.027     18.397      0.000

 AUTH2    BY
    AUTH21             0.747      0.025     29.583      0.000
    AUTH22             0.814      0.021     38.084      0.000
    AUTH23             0.789      0.022     35.219      0.000
    AUTH24             0.521      0.028     18.604      0.000

 AUTH2    ON
    AUTH1              0.934      0.021     44.747      0.000
    PARTY             -0.032      0.028     -1.155      0.248

 AUTH1    WITH
    PARTY              0.203      0.034      5.993      0.000

 AUTH11   WITH
    AUTH21             0.227      0.035      6.551      0.000

 AUTH12   WITH
    AUTH22             0.153      0.030      5.041      0.000

 AUTH13   WITH
    AUTH23             0.167      0.032      5.264      0.000

 AUTH14   WITH
    AUTH24             0.400      0.035     11.551      0.000

 Intercepts
    FT_DEM             5.069      0.073     69.305      0.000
    FT_REP             4.217      0.070     60.393      0.000
    AUTH2             -0.178      0.025     -7.009      0.000

 Thresholds
    AUTH11$1          -0.765      0.031    -24.362      0.000
    AUTH12$1          -0.162      0.029     -5.543      0.000
    AUTH13$1          -0.471      0.030    -15.744      0.000
    AUTH14$1           0.385      0.028     13.677      0.000
    AUTH21$1          -0.765      0.031    -24.362      0.000
    AUTH22$1          -0.162      0.029     -5.543      0.000
    AUTH23$1          -0.471      0.030    -15.744      0.000
    AUTH24$1           0.385      0.028     13.677      0.000
    PID1$1            -0.757      0.034    -21.962      0.000
    PID1$2            -0.333      0.032    -10.519      0.000
    PID1$3            -0.064      0.031     -2.078      0.038
    PID1$4             0.296      0.032      9.387      0.000
    PID1$5             0.567      0.033     17.254      0.000
    PID1$6             1.006      0.037     26.865      0.000

 Variances
    PARTY              1.000      0.000    999.000    999.000
    AUTH1              1.000      0.000    999.000    999.000

 Residual Variances
    FT_DEM             3.894      0.175     22.206      0.000
    FT_REP             2.728      0.152     17.930      0.000
    AUTH2              0.139      0.037      3.774      0.000


R-SQUARE

    Observed                                        Two-Tailed   Residual
    Variable        Estimate       S.E.  Est./S.E.    P-Value    Variance

    AUTH11             0.518      0.037     13.927      0.000      0.482
    AUTH12             0.615      0.033     18.704      0.000      0.385
    AUTH13             0.577      0.035     16.578      0.000      0.423
    AUTH14             0.251      0.027      9.199      0.000      0.749
    AUTH21             0.558      0.038     14.791      0.000      0.442
    AUTH22             0.663      0.035     19.042      0.000      0.337
    AUTH23             0.622      0.035     17.609      0.000      0.378
    AUTH24             0.271      0.029      9.302      0.000      0.729
    PID1               0.934      0.027     34.787      0.000      0.066
    FT_DEM             0.542      0.022     24.924      0.000
    FT_REP             0.656      0.026     25.726      0.000

     Latent                                         Two-Tailed
    Variable        Estimate       S.E.  Est./S.E.    P-Value

    AUTH2              0.861      0.037     23.445      0.000


QUALITY OF NUMERICAL RESULTS

     Condition Number for the Information Matrix              0.152E-03
       (ratio of smallest to largest eigenvalue)


     Beginning Time:  14:48:53
        Ending Time:  14:48:53
       Elapsed Time:  00:00:00



MUTHEN & MUTHEN
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Tel: (310) 391-9971
Fax: (310) 391-8971
Web: www.StatModel.com
Support: Support@StatModel.com

Copyright (c) 1998-2013 Muthen & Muthen

. runmplus auth11 auth12 auth13 auth14 auth21 auth22 auth23 auth24 libcon ft_libs ft_con
> s, categorical(auth11 auth12 auth13 auth14 auth21 auth22 auth23 auth24 libcon) model(I
> deology by libcon ft_libs ft_cons; Auth1 by auth11 auth12 auth13 auth14 (a1-a4) ; Auth
> 2 by auth21 auth22 auth23 auth24 (a1-a4) ; auth11 auth12 auth13 auth14 pwith auth21 au
> th22 auth23 auth24; [auth11$1] (t1); [auth21$1] (t1); [auth12$1] (t2); [auth22$1] (t2)
> ; [auth13$1] (t3); [auth23$1] (t3); [auth14$1] (t4); [auth24$1] (t4); Auth2 on Auth1 I
> deology; [Auth2]; ) stand
THE MODEL ESTIMATION TERMINATED NORMALLY
Mplus VERSION 7.11
MUTHEN & MUTHEN
03/19/2021   2:51 PM

INPUT INSTRUCTIONS

  TITLE:
    Variable List -

    auth11 : RECODE of auth_ind (POST: Child trait more important: independence or respe
> ct)
    auth12 : RECODE of auth_obed (POST: Child trait more important: obedience or self-re
> lian
    auth13 : RECODE of auth_cur (POST: Child trait more important: curiosity or good man
> ners
    auth14 : RECODE of auth_consid (POST: Child trait more important: considerate or wel
> l-be
    auth21 : RECODE of C5_H1 (Please tell us which one you think is more important for a
>  chi
    auth22 : RECODE of C5_H2 (Please tell us which one you think is more important for a
>  chi
    auth23 : RECODE of C5_H3 (Please tell us which one you think is more important for a
>  chi
    auth24 : RECODE of C5_H4 (Please tell us which one you think is more important for a
>  chi
    libcon : RECODE of libcpre_self (PRE: 7pt scale Liberal/conservative self-placement)
    ft_libs : RECODE of ftgr_liberals (POST: Feeling thermometer: LIBERALS)
    ft_cons : RECODE of ftgr_cons (POST: Feeling thermometer: CONSERVATIVES)

  DATA:
    FILE = __000001.dat ;
  VARIABLE:
    NAMES =
      auth11 auth12 auth13 auth14 auth21 auth22 auth23 auth24 libcon
  ft_libs ft_cons ;
    MISSING ARE ALL (-9999) ;
    CATEGORICAL =
      auth11
      auth12
      auth13
      auth14
      auth21
      auth22
      auth23
      auth24
      libcon
      ;
  ANALYSIS:
  OUTPUT:
     STANDARDIZED ;
  MODEL:
  Ideology by libcon ft_libs ft_cons ;
  Auth1 by auth11 auth12 auth13 auth14 (a1-a4)  ;
  Auth2 by auth21 auth22 auth23 auth24 (a1-a4)  ;
  auth11 auth12 auth13 auth14 pwith auth21 auth22 auth23 auth24 ;
  [auth11$1] (t1) ;
  [auth21$1] (t1) ;
  [auth12$1] (t2) ;
  [auth22$1] (t2) ;
  [auth13$1] (t3) ;
  [auth23$1] (t3) ;
  [auth14$1] (t4) ;
  [auth24$1] (t4) ;
  Auth2 on Auth1 Ideology ;
  [Auth2] ;




*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    auth12 : RECODE of auth_obed (POST: Child trait more important: obedience or self-re
> lianc
*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    auth13 : RECODE of auth_cur (POST: Child trait more important: curiosity or good man
> ners)
*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    auth14 : RECODE of auth_consid (POST: Child trait more important: considerate or wel
> l-beh
*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    auth21 : RECODE of C5_H1 (Please tell us which one you think is more important for a
>  chil
*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    auth22 : RECODE of C5_H2 (Please tell us which one you think is more important for a
>  chil
*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    auth23 : RECODE of C5_H3 (Please tell us which one you think is more important for a
>  chil
*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    auth24 : RECODE of C5_H4 (Please tell us which one you think is more important for a
>  chil
*** WARNING
  Data set contains cases with missing on all variables.
  These cases were not included in the analysis.
  Number of cases with missing on all variables:  1
   8 WARNING(S) FOUND IN THE INPUT INSTRUCTIONS




Variable List -

auth11 : RECODE of auth_ind (POST: Child trait more important: independence or respect)
auth12 : RECODE of auth_obed (POST: Child trait more important: obedience or self-relian
auth13 : RECODE of auth_cur (POST: Child trait more important: curiosity or good manners
auth14 : RECODE of auth_consid (POST: Child trait more important: considerate or well-be
auth21 : RECODE of C5_H1 (Please tell us which one you think is more important for a chi
auth22 : RECODE of C5_H2 (Please tell us which one you think is more important for a chi
auth23 : RECODE of C5_H3 (Please tell us which one you think is more important for a chi
auth24 : RECODE of C5_H4 (Please tell us which one you think is more important for a chi
libcon : RECODE of libcpre_self (PRE: 7pt scale Liberal/conservative self-placement)
ft_libs : RECODE of ftgr_liberals (POST: Feeling thermometer: LIBERALS)
ft_cons : RECODE of ftgr_cons (POST: Feeling thermometer: CONSERVATIVES)

SUMMARY OF ANALYSIS

Number of groups                                                 1
Number of observations                                        1634

Number of dependent variables                                   11
Number of independent variables                                  0
Number of continuous latent variables                            3

Observed dependent variables

  Continuous
   FT_LIBS     FT_CONS

  Binary and ordered categorical (ordinal)
   AUTH11      AUTH12      AUTH13      AUTH14      AUTH21      AUTH22
   AUTH23      AUTH24      LIBCON

Continuous latent variables
   IDEOLOGY    AUTH1       AUTH2


Estimator                                                    WLSMV
Maximum number of iterations                                  1000
Convergence criterion                                    0.500D-04
Maximum number of steepest descent iterations                   20
Maximum number of iterations for H1                           2000
Convergence criterion for H1                             0.100D-03
Parameterization                                             DELTA

Input data file(s)
  __000001.dat

Input data format  FREE


SUMMARY OF DATA

     Number of missing data patterns            20


COVARIANCE COVERAGE OF DATA

Minimum covariance coverage value   0.100


     PROPORTION OF DATA PRESENT


           Covariance Coverage
              AUTH11        AUTH12        AUTH13        AUTH14        AUTH21
              ________      ________      ________      ________      ________
 AUTH11         0.964
 AUTH12         0.963         0.963
 AUTH13         0.962         0.961         0.962
 AUTH14         0.963         0.962         0.961         0.963
 AUTH21         0.941         0.939         0.939         0.940         0.976
 AUTH22         0.941         0.941         0.939         0.941         0.974
 AUTH23         0.942         0.941         0.941         0.942         0.976
 AUTH24         0.941         0.941         0.939         0.941         0.974
 LIBCON         0.958         0.957         0.957         0.958         0.971
 FT_LIBS        0.954         0.953         0.952         0.953         0.931
 FT_CONS        0.955         0.953         0.953         0.954         0.933


           Covariance Coverage
              AUTH22        AUTH23        AUTH24        LIBCON        FT_LIBS
              ________      ________      ________      ________      ________
 AUTH22         0.976
 AUTH23         0.976         0.977
 AUTH24         0.976         0.976         0.976
 LIBCON         0.971         0.972         0.971         0.994
 FT_LIBS        0.931         0.933         0.931         0.952         0.954
 FT_CONS        0.933         0.935         0.933         0.952         0.952


           Covariance Coverage
              FT_CONS
              ________
 FT_CONS        0.955


UNIVARIATE PROPORTIONS AND COUNTS FOR CATEGORICAL VARIABLES

    AUTH11
      Category 1    0.215      338.000
      Category 2    0.785     1237.000
    AUTH12
      Category 1    0.442      696.000
      Category 2    0.558      877.000
    AUTH13
      Category 1    0.315      495.000
      Category 2    0.685     1077.000
    AUTH14
      Category 1    0.657     1034.000
      Category 2    0.343      540.000
    AUTH21
      Category 1    0.271      432.000
      Category 2    0.729     1162.000
    AUTH22
      Category 1    0.487      776.000
      Category 2    0.513      819.000
    AUTH23
      Category 1    0.374      598.000
      Category 2    0.626      999.000
    AUTH24
      Category 1    0.676     1079.000
      Category 2    0.324      516.000
    LIBCON
      Category 1    0.031       51.000
      Category 2    0.118      192.000
      Category 3    0.112      182.000
      Category 4    0.344      559.000
      Category 5    0.150      244.000
      Category 6    0.206      334.000
      Category 7    0.039       63.000



THE MODEL ESTIMATION TERMINATED NORMALLY



MODEL FIT INFORMATION

Number of Free Parameters                       30

Chi-Square Test of Model Fit

          Value                            163.805*
          Degrees of Freedom                    43
          P-Value                           0.0000

*   The chi-square value for MLM, MLMV, MLR, ULSMV, WLSM and WLSMV cannot be used
    for chi-square difference testing in the regular way.  MLM, MLR and WLSM
    chi-square difference testing is described on the Mplus website.  MLMV, WLSMV,
    and ULSMV difference testing is done using the DIFFTEST option.

RMSEA (Root Mean Square Error Of Approximation)

          Estimate                           0.041
          90 Percent C.I.                    0.035  0.048
          Probability RMSEA <= .05           0.981

CFI/TLI

          CFI                                0.981
          TLI                                0.976

Chi-Square Test of Model Fit for the Baseline Model

          Value                           6541.636
          Degrees of Freedom                    55
          P-Value                           0.0000

WRMR (Weighted Root Mean Square Residual)

          Value                              1.294



MODEL RESULTS

                                                    Two-Tailed
                    Estimate       S.E.  Est./S.E.    P-Value

 IDEOLOGY BY
    LIBCON             1.000      0.000    999.000    999.000
    FT_LIBS           -2.128      0.105    -20.230      0.000
    FT_CONS            2.046      0.101     20.239      0.000

 AUTH1    BY
    AUTH11             1.000      0.000    999.000    999.000
    AUTH12             1.083      0.045     24.313      0.000
    AUTH13             1.041      0.043     24.106      0.000
    AUTH14             0.672      0.041     16.257      0.000

 AUTH2    BY
    AUTH21             1.000      0.000    999.000    999.000
    AUTH22             1.083      0.045     24.313      0.000
    AUTH23             1.041      0.043     24.106      0.000
    AUTH24             0.672      0.041     16.257      0.000

 AUTH2    ON
    AUTH1              0.980      0.035     28.160      0.000
    IDEOLOGY          -0.034      0.024     -1.426      0.154

 AUTH1    WITH
    IDEOLOGY           0.263      0.024     11.155      0.000

 AUTH11   WITH
    AUTH21             0.216      0.034      6.343      0.000

 AUTH12   WITH
    AUTH22             0.148      0.030      4.952      0.000

 AUTH13   WITH
    AUTH23             0.171      0.032      5.413      0.000

 AUTH14   WITH
    AUTH24             0.412      0.034     12.048      0.000

 Intercepts
    FT_LIBS            4.456      0.071     63.054      0.000
    FT_CONS            5.230      0.067     78.488      0.000
    AUTH2             -0.134      0.019     -7.076      0.000

 Thresholds
    AUTH11$1          -0.766      0.031    -24.372      0.000
    AUTH12$1          -0.162      0.029     -5.556      0.000
    AUTH13$1          -0.471      0.030    -15.746      0.000
    AUTH14$1           0.386      0.028     13.728      0.000
    AUTH21$1          -0.766      0.031    -24.372      0.000
    AUTH22$1          -0.162      0.029     -5.556      0.000
    AUTH23$1          -0.471      0.030    -15.746      0.000
    AUTH24$1           0.386      0.028     13.728      0.000
    LIBCON$1          -1.861      0.061    -30.388      0.000
    LIBCON$2          -1.038      0.038    -27.312      0.000
    LIBCON$3          -0.639      0.034    -19.058      0.000
    LIBCON$4           0.268      0.031      8.499      0.000
    LIBCON$5           0.693      0.034     20.393      0.000
    LIBCON$6           1.765      0.057     30.966      0.000

 Variances
    IDEOLOGY           0.886      0.032     27.340      0.000
    AUTH1              0.529      0.037     14.379      0.000

 Residual Variances
    FT_LIBS            3.590      0.177     20.298      0.000
    FT_CONS            3.034      0.170     17.841      0.000
    AUTH2              0.078      0.022      3.585      0.000


STANDARDIZED MODEL RESULTS


STDYX Standardization

                                                    Two-Tailed
                    Estimate       S.E.  Est./S.E.    P-Value

 IDEOLOGY BY
    LIBCON             0.941      0.017     54.679      0.000
    FT_LIBS           -0.727      0.017    -42.849      0.000
    FT_CONS            0.742      0.018     40.193      0.000

 AUTH1    BY
    AUTH11             0.727      0.025     28.758      0.000
    AUTH12             0.788      0.021     37.986      0.000
    AUTH13             0.757      0.023     33.182      0.000
    AUTH14             0.489      0.027     18.080      0.000

 AUTH2    BY
    AUTH21             0.755      0.025     30.462      0.000
    AUTH22             0.817      0.021     38.788      0.000
    AUTH23             0.785      0.022     35.459      0.000
    AUTH24             0.507      0.028     18.260      0.000

 AUTH2    ON
    AUTH1              0.944      0.025     37.970      0.000
    IDEOLOGY          -0.043      0.030     -1.430      0.153

 AUTH1    WITH
    IDEOLOGY           0.385      0.031     12.216      0.000

 AUTH11   WITH
    AUTH21             0.480      0.058      8.342      0.000

 AUTH12   WITH
    AUTH22             0.418      0.066      6.304      0.000

 AUTH13   WITH
    AUTH23             0.423      0.062      6.846      0.000

 AUTH14   WITH
    AUTH24             0.548      0.038     14.363      0.000

 Intercepts
    FT_LIBS            1.616      0.043     37.699      0.000
    FT_CONS            2.014      0.045     44.551      0.000
    AUTH2             -0.178      0.025     -7.027      0.000

 Thresholds
    AUTH11$1          -0.766      0.031    -24.372      0.000
    AUTH12$1          -0.162      0.029     -5.556      0.000
    AUTH13$1          -0.471      0.030    -15.746      0.000
    AUTH14$1           0.386      0.028     13.728      0.000
    AUTH21$1          -0.766      0.031    -24.372      0.000
    AUTH22$1          -0.162      0.029     -5.556      0.000
    AUTH23$1          -0.471      0.030    -15.746      0.000
    AUTH24$1           0.386      0.028     13.728      0.000
    LIBCON$1          -1.861      0.061    -30.388      0.000
    LIBCON$2          -1.038      0.038    -27.312      0.000
    LIBCON$3          -0.639      0.034    -19.058      0.000
    LIBCON$4           0.268      0.031      8.499      0.000
    LIBCON$5           0.693      0.034     20.393      0.000
    LIBCON$6           1.765      0.057     30.966      0.000

 Variances
    IDEOLOGY           1.000      0.000    999.000    999.000
    AUTH1              1.000      0.000    999.000    999.000

 Residual Variances
    FT_LIBS            0.472      0.025     19.162      0.000
    FT_CONS            0.450      0.027     16.427      0.000
    AUTH2              0.137      0.037      3.693      0.000


STDY Standardization

                                                    Two-Tailed
                    Estimate       S.E.  Est./S.E.    P-Value

 IDEOLOGY BY
    LIBCON             0.941      0.017     54.679      0.000
    FT_LIBS           -0.727      0.017    -42.849      0.000
    FT_CONS            0.742      0.018     40.193      0.000

 AUTH1    BY
    AUTH11             0.727      0.025     28.758      0.000
    AUTH12             0.788      0.021     37.986      0.000
    AUTH13             0.757      0.023     33.182      0.000
    AUTH14             0.489      0.027     18.080      0.000

 AUTH2    BY
    AUTH21             0.755      0.025     30.462      0.000
    AUTH22             0.817      0.021     38.788      0.000
    AUTH23             0.785      0.022     35.459      0.000
    AUTH24             0.507      0.028     18.260      0.000

 AUTH2    ON
    AUTH1              0.944      0.025     37.970      0.000
    IDEOLOGY          -0.043      0.030     -1.430      0.153

 AUTH1    WITH
    IDEOLOGY           0.385      0.031     12.216      0.000

 AUTH11   WITH
    AUTH21             0.480      0.058      8.342      0.000

 AUTH12   WITH
    AUTH22             0.418      0.066      6.304      0.000

 AUTH13   WITH
    AUTH23             0.423      0.062      6.846      0.000

 AUTH14   WITH
    AUTH24             0.548      0.038     14.363      0.000

 Intercepts
    FT_LIBS            1.616      0.043     37.699      0.000
    FT_CONS            2.014      0.045     44.551      0.000
    AUTH2             -0.178      0.025     -7.027      0.000

 Thresholds
    AUTH11$1          -0.766      0.031    -24.372      0.000
    AUTH12$1          -0.162      0.029     -5.556      0.000
    AUTH13$1          -0.471      0.030    -15.746      0.000
    AUTH14$1           0.386      0.028     13.728      0.000
    AUTH21$1          -0.766      0.031    -24.372      0.000
    AUTH22$1          -0.162      0.029     -5.556      0.000
    AUTH23$1          -0.471      0.030    -15.746      0.000
    AUTH24$1           0.386      0.028     13.728      0.000
    LIBCON$1          -1.861      0.061    -30.388      0.000
    LIBCON$2          -1.038      0.038    -27.312      0.000
    LIBCON$3          -0.639      0.034    -19.058      0.000
    LIBCON$4           0.268      0.031      8.499      0.000
    LIBCON$5           0.693      0.034     20.393      0.000
    LIBCON$6           1.765      0.057     30.966      0.000

 Variances
    IDEOLOGY           1.000      0.000    999.000    999.000
    AUTH1              1.000      0.000    999.000    999.000

 Residual Variances
    FT_LIBS            0.472      0.025     19.162      0.000
    FT_CONS            0.450      0.027     16.427      0.000
    AUTH2              0.137      0.037      3.693      0.000


STD Standardization

                                                    Two-Tailed
                    Estimate       S.E.  Est./S.E.    P-Value

 IDEOLOGY BY
    LIBCON             0.941      0.017     54.679      0.000
    FT_LIBS           -2.004      0.082    -24.361      0.000
    FT_CONS            1.926      0.075     25.733      0.000

 AUTH1    BY
    AUTH11             0.727      0.025     28.758      0.000
    AUTH12             0.788      0.021     37.986      0.000
    AUTH13             0.757      0.023     33.182      0.000
    AUTH14             0.489      0.027     18.080      0.000

 AUTH2    BY
    AUTH21             0.755      0.025     30.462      0.000
    AUTH22             0.817      0.021     38.788      0.000
    AUTH23             0.785      0.022     35.459      0.000
    AUTH24             0.507      0.028     18.260      0.000

 AUTH2    ON
    AUTH1              0.944      0.025     37.970      0.000
    IDEOLOGY          -0.043      0.030     -1.430      0.153

 AUTH1    WITH
    IDEOLOGY           0.385      0.031     12.216      0.000

 AUTH11   WITH
    AUTH21             0.216      0.034      6.343      0.000

 AUTH12   WITH
    AUTH22             0.148      0.030      4.952      0.000

 AUTH13   WITH
    AUTH23             0.171      0.032      5.413      0.000

 AUTH14   WITH
    AUTH24             0.412      0.034     12.048      0.000

 Intercepts
    FT_LIBS            4.456      0.071     63.054      0.000
    FT_CONS            5.230      0.067     78.488      0.000
    AUTH2             -0.178      0.025     -7.027      0.000

 Thresholds
    AUTH11$1          -0.766      0.031    -24.372      0.000
    AUTH12$1          -0.162      0.029     -5.556      0.000
    AUTH13$1          -0.471      0.030    -15.746      0.000
    AUTH14$1           0.386      0.028     13.728      0.000
    AUTH21$1          -0.766      0.031    -24.372      0.000
    AUTH22$1          -0.162      0.029     -5.556      0.000
    AUTH23$1          -0.471      0.030    -15.746      0.000
    AUTH24$1           0.386      0.028     13.728      0.000
    LIBCON$1          -1.861      0.061    -30.388      0.000
    LIBCON$2          -1.038      0.038    -27.312      0.000
    LIBCON$3          -0.639      0.034    -19.058      0.000
    LIBCON$4           0.268      0.031      8.499      0.000
    LIBCON$5           0.693      0.034     20.393      0.000
    LIBCON$6           1.765      0.057     30.966      0.000

 Variances
    IDEOLOGY           1.000      0.000    999.000    999.000
    AUTH1              1.000      0.000    999.000    999.000

 Residual Variances
    FT_LIBS            3.590      0.177     20.298      0.000
    FT_CONS            3.034      0.170     17.841      0.000
    AUTH2              0.137      0.037      3.693      0.000


R-SQUARE

    Observed                                        Two-Tailed   Residual
    Variable        Estimate       S.E.  Est./S.E.    P-Value    Variance

    AUTH11             0.529      0.037     14.379      0.000      0.471
    AUTH12             0.620      0.033     18.993      0.000      0.380
    AUTH13             0.573      0.035     16.591      0.000      0.427
    AUTH14             0.239      0.026      9.040      0.000      0.761
    AUTH21             0.570      0.037     15.231      0.000      0.430
    AUTH22             0.668      0.034     19.394      0.000      0.332
    AUTH23             0.617      0.035     17.729      0.000      0.383
    AUTH24             0.257      0.028      9.130      0.000      0.743
    LIBCON             0.886      0.032     27.340      0.000      0.114
    FT_LIBS            0.528      0.025     21.425      0.000
    FT_CONS            0.550      0.027     20.097      0.000

     Latent                                         Two-Tailed
    Variable        Estimate       S.E.  Est./S.E.    P-Value

    AUTH2              0.863      0.037     23.222      0.000


QUALITY OF NUMERICAL RESULTS

     Condition Number for the Information Matrix              0.369E-03
       (ratio of smallest to largest eigenvalue)


     Beginning Time:  14:51:26
        Ending Time:  14:51:27
       Elapsed Time:  00:00:01



MUTHEN & MUTHEN
3463 Stoner Ave.
Los Angeles, CA  90066

Tel: (310) 391-9971
Fax: (310) 391-8971
Web: www.StatModel.com
Support: Support@StatModel.com

Copyright (c) 1998-2013 Muthen & Muthen

. runmplus auth11 auth12 auth13 auth14 auth21 auth22 auth23 auth24 moral1 moral2 moral3 
> moral4, categorical(auth11 auth12 auth13 auth14 auth21 auth22 auth23 auth24 moral1 mor
> al2 moral3 moral4) model(Moral by moral1 moral2 moral3 moral4; Auth1 by auth11 auth12 
> auth13 auth14 (a1-a4) ; Auth2 by auth21 auth22 auth23 auth24 (a1-a4) ; auth11 auth12 a
> uth13 auth14 pwith auth21 auth22 auth23 auth24; [auth11$1] (t1); [auth21$1] (t1); [aut
> h12$1] (t2); [auth22$1] (t2); [auth13$1] (t3); [auth23$1] (t3); [auth14$1] (t4); [auth
> 24$1] (t4); Auth2 on Auth1 Moral; [Auth2]; ) stand
THE MODEL ESTIMATION TERMINATED NORMALLY
Mplus VERSION 7.11
MUTHEN & MUTHEN
03/19/2021   2:53 PM

INPUT INSTRUCTIONS

  TITLE:
    Variable List -

    auth11 : RECODE of auth_ind (POST: Child trait more important: independence or respe
> ct)
    auth12 : RECODE of auth_obed (POST: Child trait more important: obedience or self-re
> lian
    auth13 : RECODE of auth_cur (POST: Child trait more important: curiosity or good man
> ners
    auth14 : RECODE of auth_consid (POST: Child trait more important: considerate or wel
> l-be
    auth21 : RECODE of C5_H1 (Please tell us which one you think is more important for a
>  chi
    auth22 : RECODE of C5_H2 (Please tell us which one you think is more important for a
>  chi
    auth23 : RECODE of C5_H3 (Please tell us which one you think is more important for a
>  chi
    auth24 : RECODE of C5_H4 (Please tell us which one you think is more important for a
>  chi
    moral1 : RECODE of trad_adjust (POST: Agree/disagree: world is changing and we shoul
> d ad
    moral2 : RECODE of trad_lifestyle (POST: Agree/disagree: newer lifestyles breaking d
> own
    moral3 : RECODE of trad_tolerant (POST: Agree/disagree: be more tolerant of other mo
> ral
    moral4 : RECODE of trad_famval (POST: Agree/disagree: more emphasis on traditional f
> amil

  DATA:
    FILE = __000001.dat ;
  VARIABLE:
    NAMES =
      auth11 auth12 auth13 auth14 auth21 auth22 auth23 auth24 moral1
  moral2 moral3 moral4 ;
    MISSING ARE ALL (-9999) ;
    CATEGORICAL =
      auth11
      auth12
      auth13
      auth14
      auth21
      auth22
      auth23
      auth24
      moral1
      moral2
      moral3
      moral4
      ;
  ANALYSIS:
  OUTPUT:
     STANDARDIZED ;
  MODEL:
  Moral by moral1 moral2 moral3 moral4 ;
  Auth1 by auth11 auth12 auth13 auth14 (a1-a4)  ;
  Auth2 by auth21 auth22 auth23 auth24 (a1-a4)  ;
  auth11 auth12 auth13 auth14 pwith auth21 auth22 auth23 auth24 ;
  [auth11$1] (t1) ;
  [auth21$1] (t1) ;
  [auth12$1] (t2) ;
  [auth22$1] (t2) ;
  [auth13$1] (t3) ;
  [auth23$1] (t3) ;
  [auth14$1] (t4) ;
  [auth24$1] (t4) ;
  Auth2 on Auth1 Moral ;
  [Auth2] ;




*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    auth12 : RECODE of auth_obed (POST: Child trait more important: obedience or self-re
> lianc
*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    auth13 : RECODE of auth_cur (POST: Child trait more important: curiosity or good man
> ners)
*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    auth14 : RECODE of auth_consid (POST: Child trait more important: considerate or wel
> l-beh
*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    auth21 : RECODE of C5_H1 (Please tell us which one you think is more important for a
>  chil
*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    auth22 : RECODE of C5_H2 (Please tell us which one you think is more important for a
>  chil
*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    auth23 : RECODE of C5_H3 (Please tell us which one you think is more important for a
>  chil
*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    auth24 : RECODE of C5_H4 (Please tell us which one you think is more important for a
>  chil
*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    moral1 : RECODE of trad_adjust (POST: Agree/disagree: world is changing and we shoul
> d adj
*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    moral2 : RECODE of trad_lifestyle (POST: Agree/disagree: newer lifestyles breaking d
> own s
*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    moral3 : RECODE of trad_tolerant (POST: Agree/disagree: be more tolerant of other mo
> ral s
*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    moral4 : RECODE of trad_famval (POST: Agree/disagree: more emphasis on traditional f
> amily
*** WARNING
  Data set contains cases with missing on all variables.
  These cases were not included in the analysis.
  Number of cases with missing on all variables:  3
  12 WARNING(S) FOUND IN THE INPUT INSTRUCTIONS




Variable List -

auth11 : RECODE of auth_ind (POST: Child trait more important: independence or respect)
auth12 : RECODE of auth_obed (POST: Child trait more important: obedience or self-relian
auth13 : RECODE of auth_cur (POST: Child trait more important: curiosity or good manners
auth14 : RECODE of auth_consid (POST: Child trait more important: considerate or well-be
auth21 : RECODE of C5_H1 (Please tell us which one you think is more important for a chi
auth22 : RECODE of C5_H2 (Please tell us which one you think is more important for a chi
auth23 : RECODE of C5_H3 (Please tell us which one you think is more important for a chi
auth24 : RECODE of C5_H4 (Please tell us which one you think is more important for a chi
moral1 : RECODE of trad_adjust (POST: Agree/disagree: world is changing and we should ad
moral2 : RECODE of trad_lifestyle (POST: Agree/disagree: newer lifestyles breaking down
moral3 : RECODE of trad_tolerant (POST: Agree/disagree: be more tolerant of other moral
moral4 : RECODE of trad_famval (POST: Agree/disagree: more emphasis on traditional famil

SUMMARY OF ANALYSIS

Number of groups                                                 1
Number of observations                                        1632

Number of dependent variables                                   12
Number of independent variables                                  0
Number of continuous latent variables                            3

Observed dependent variables

  Binary and ordered categorical (ordinal)
   AUTH11      AUTH12      AUTH13      AUTH14      AUTH21      AUTH22
   AUTH23      AUTH24      MORAL1      MORAL2      MORAL3      MORAL4

Continuous latent variables
   MORAL       AUTH1       AUTH2


Estimator                                                    WLSMV
Maximum number of iterations                                  1000
Convergence criterion                                    0.500D-04
Maximum number of steepest descent iterations                   20
Maximum number of iterations for H1                           2000
Convergence criterion for H1                             0.100D-03
Parameterization                                             DELTA

Input data file(s)
  __000001.dat

Input data format  FREE


SUMMARY OF DATA

     Number of missing data patterns            11


COVARIANCE COVERAGE OF DATA

Minimum covariance coverage value   0.100


     PROPORTION OF DATA PRESENT


           Covariance Coverage
              AUTH11        AUTH12        AUTH13        AUTH14        AUTH21
              ________      ________      ________      ________      ________
 AUTH11         0.965
 AUTH12         0.964         0.964
 AUTH13         0.963         0.962         0.963
 AUTH14         0.964         0.963         0.963         0.964
 AUTH21         0.942         0.941         0.940         0.941         0.977
 AUTH22         0.942         0.942         0.941         0.942         0.975
 AUTH23         0.944         0.942         0.942         0.943         0.977
 AUTH24         0.942         0.942         0.941         0.942         0.975
 MORAL1         0.965         0.964         0.963         0.964         0.942
 MORAL2         0.965         0.964         0.963         0.964         0.942
 MORAL3         0.964         0.963         0.963         0.964         0.941
 MORAL4         0.965         0.964         0.963         0.964         0.942


           Covariance Coverage
              AUTH22        AUTH23        AUTH24        MORAL1        MORAL2
              ________      ________      ________      ________      ________
 AUTH22         0.977
 AUTH23         0.977         0.979
 AUTH24         0.977         0.977         0.977
 MORAL1         0.942         0.944         0.942         0.965
 MORAL2         0.942         0.944         0.942         0.965         0.965
 MORAL3         0.942         0.943         0.942         0.964         0.964
 MORAL4         0.942         0.944         0.942         0.965         0.965


           Covariance Coverage
              MORAL3        MORAL4
              ________      ________
 MORAL3         0.964
 MORAL4         0.964         0.965


UNIVARIATE PROPORTIONS AND COUNTS FOR CATEGORICAL VARIABLES

    AUTH11
      Category 1    0.215      338.000
      Category 2    0.785     1237.000
    AUTH12
      Category 1    0.442      696.000
      Category 2    0.558      877.000
    AUTH13
      Category 1    0.315      495.000
      Category 2    0.685     1077.000
    AUTH14
      Category 1    0.657     1034.000
      Category 2    0.343      540.000
    AUTH21
      Category 1    0.271      432.000
      Category 2    0.729     1162.000
    AUTH22
      Category 1    0.487      776.000
      Category 2    0.513      819.000
    AUTH23
      Category 1    0.374      598.000
      Category 2    0.626      999.000
    AUTH24
      Category 1    0.676     1079.000
      Category 2    0.324      516.000
    MORAL1
      Category 1    0.073      115.000
      Category 2    0.264      416.000
      Category 3    0.145      228.000
      Category 4    0.245      386.000
      Category 5    0.273      430.000
    MORAL2
      Category 1    0.084      132.000
      Category 2    0.154      243.000
      Category 3    0.173      272.000
      Category 4    0.347      546.000
      Category 5    0.243      382.000
    MORAL3
      Category 1    0.155      244.000
      Category 2    0.362      570.000
      Category 3    0.235      370.000
      Category 4    0.173      272.000
      Category 5    0.075      118.000
    MORAL4
      Category 1    0.060       95.000
      Category 2    0.105      166.000
      Category 3    0.181      285.000
      Category 4    0.326      513.000
      Category 5    0.328      516.000



THE MODEL ESTIMATION TERMINATED NORMALLY



MODEL FIT INFORMATION

Number of Free Parameters                       37

Chi-Square Test of Model Fit

          Value                            324.949*
          Degrees of Freedom                    53
          P-Value                           0.0000

*   The chi-square value for MLM, MLMV, MLR, ULSMV, WLSM and WLSMV cannot be used
    for chi-square difference testing in the regular way.  MLM, MLR and WLSM
    chi-square difference testing is described on the Mplus website.  MLMV, WLSMV,
    and ULSMV difference testing is done using the DIFFTEST option.

RMSEA (Root Mean Square Error Of Approximation)

          Estimate                           0.056
          90 Percent C.I.                    0.050  0.062
          Probability RMSEA <= .05           0.042

CFI/TLI

          CFI                                0.973
          TLI                                0.966

Chi-Square Test of Model Fit for the Baseline Model

          Value                          10162.659
          Degrees of Freedom                    66
          P-Value                           0.0000

WRMR (Weighted Root Mean Square Residual)

          Value                              1.679



MODEL RESULTS

                                                    Two-Tailed
                    Estimate       S.E.  Est./S.E.    P-Value

 MORAL    BY
    MORAL1             1.000      0.000    999.000    999.000
    MORAL2             1.434      0.050     28.568      0.000
    MORAL3             1.061      0.041     25.817      0.000
    MORAL4             1.354      0.047     28.633      0.000

 AUTH1    BY
    AUTH11             1.000      0.000    999.000    999.000
    AUTH12             1.057      0.041     25.720      0.000
    AUTH13             0.964      0.039     24.631      0.000
    AUTH14             0.625      0.039     15.870      0.000

 AUTH2    BY
    AUTH21             1.000      0.000    999.000    999.000
    AUTH22             1.057      0.041     25.720      0.000
    AUTH23             0.964      0.039     24.631      0.000
    AUTH24             0.625      0.039     15.870      0.000

 AUTH2    ON
    AUTH1              0.999      0.043     23.072      0.000
    MORAL             -0.080      0.050     -1.603      0.109

 AUTH1    WITH
    MORAL              0.252      0.019     13.535      0.000

 AUTH11   WITH
    AUTH21             0.176      0.034      5.148      0.000

 AUTH12   WITH
    AUTH22             0.132      0.029      4.546      0.000

 AUTH13   WITH
    AUTH23             0.212      0.031      6.767      0.000

 AUTH14   WITH
    AUTH24             0.428      0.034     12.627      0.000

 Intercepts
    AUTH2             -0.140      0.020     -7.112      0.000

 Thresholds
    AUTH11$1          -0.769      0.032    -24.331      0.000
    AUTH12$1          -0.163      0.029     -5.593      0.000
    AUTH13$1          -0.468      0.030    -15.738      0.000
    AUTH14$1           0.387      0.028     13.788      0.000
    AUTH21$1          -0.769      0.032    -24.331      0.000
    AUTH22$1          -0.163      0.029     -5.593      0.000
    AUTH23$1          -0.468      0.030    -15.738      0.000
    AUTH24$1           0.387      0.028     13.788      0.000
    MORAL1$1          -1.454      0.047    -30.754      0.000
    MORAL1$2          -0.420      0.033    -12.886      0.000
    MORAL1$3          -0.045      0.032     -1.436      0.151
    MORAL1$4           0.604      0.034     17.881      0.000
    MORAL2$1          -1.380      0.045    -30.429      0.000
    MORAL2$2          -0.712      0.035    -20.547      0.000
    MORAL2$3          -0.226      0.032     -7.075      0.000
    MORAL2$4           0.698      0.035     20.211      0.000
    MORAL3$1          -1.015      0.038    -26.519      0.000
    MORAL3$2           0.043      0.032      1.361      0.173
    MORAL3$3           0.682      0.034     19.807      0.000
    MORAL3$4           1.440      0.047     30.694      0.000
    MORAL4$1          -1.552      0.050    -30.949      0.000
    MORAL4$2          -0.971      0.038    -25.805      0.000
    MORAL4$3          -0.394      0.032    -12.137      0.000
    MORAL4$4           0.446      0.033     13.633      0.000

 Variances
    MORAL              0.366      0.023     16.078      0.000
    AUTH1              0.570      0.038     15.123      0.000

 Residual Variances
    AUTH2              0.082      0.024      3.457      0.001


STANDARDIZED MODEL RESULTS


STDYX Standardization

                                                    Two-Tailed
                    Estimate       S.E.  Est./S.E.    P-Value

 MORAL    BY
    MORAL1             0.605      0.019     32.157      0.000
    MORAL2             0.867      0.013     65.770      0.000
    MORAL3             0.642      0.018     35.115      0.000
    MORAL4             0.818      0.014     57.163      0.000

 AUTH1    BY
    AUTH11             0.755      0.025     30.247      0.000
    AUTH12             0.799      0.020     39.922      0.000
    AUTH13             0.728      0.023     31.504      0.000
    AUTH14             0.472      0.027     17.397      0.000

 AUTH2    BY
    AUTH21             0.783      0.024     32.384      0.000
    AUTH22             0.828      0.021     39.990      0.000
    AUTH23             0.755      0.022     33.752      0.000
    AUTH24             0.489      0.028     17.591      0.000

 AUTH2    ON
    AUTH1              0.963      0.033     29.111      0.000
    MORAL             -0.061      0.038     -1.610      0.107

 AUTH1    WITH
    MORAL              0.552      0.029     19.378      0.000

 AUTH11   WITH
    AUTH21             0.432      0.065      6.673      0.000

 AUTH12   WITH
    AUTH22             0.390      0.069      5.650      0.000

 AUTH13   WITH
    AUTH23             0.472      0.055      8.652      0.000

 AUTH14   WITH
    AUTH24             0.557      0.037     14.925      0.000

 Intercepts
    AUTH2             -0.179      0.025     -7.045      0.000

 Thresholds
    AUTH11$1          -0.769      0.032    -24.331      0.000
    AUTH12$1          -0.163      0.029     -5.593      0.000
    AUTH13$1          -0.468      0.030    -15.738      0.000
    AUTH14$1           0.387      0.028     13.788      0.000
    AUTH21$1          -0.769      0.032    -24.331      0.000
    AUTH22$1          -0.163      0.029     -5.593      0.000
    AUTH23$1          -0.468      0.030    -15.738      0.000
    AUTH24$1           0.387      0.028     13.788      0.000
    MORAL1$1          -1.454      0.047    -30.754      0.000
    MORAL1$2          -0.420      0.033    -12.886      0.000
    MORAL1$3          -0.045      0.032     -1.436      0.151
    MORAL1$4           0.604      0.034     17.881      0.000
    MORAL2$1          -1.380      0.045    -30.429      0.000
    MORAL2$2          -0.712      0.035    -20.547      0.000
    MORAL2$3          -0.226      0.032     -7.075      0.000
    MORAL2$4           0.698      0.035     20.211      0.000
    MORAL3$1          -1.015      0.038    -26.519      0.000
    MORAL3$2           0.043      0.032      1.361      0.173
    MORAL3$3           0.682      0.034     19.807      0.000
    MORAL3$4           1.440      0.047     30.694      0.000
    MORAL4$1          -1.552      0.050    -30.949      0.000
    MORAL4$2          -0.971      0.038    -25.805      0.000
    MORAL4$3          -0.394      0.032    -12.137      0.000
    MORAL4$4           0.446      0.033     13.633      0.000

 Variances
    MORAL              1.000      0.000    999.000    999.000
    AUTH1              1.000      0.000    999.000    999.000

 Residual Variances
    AUTH2              0.134      0.038      3.548      0.000


STDY Standardization

                                                    Two-Tailed
                    Estimate       S.E.  Est./S.E.    P-Value

 MORAL    BY
    MORAL1             0.605      0.019     32.157      0.000
    MORAL2             0.867      0.013     65.770      0.000
    MORAL3             0.642      0.018     35.115      0.000
    MORAL4             0.818      0.014     57.163      0.000

 AUTH1    BY
    AUTH11             0.755      0.025     30.247      0.000
    AUTH12             0.799      0.020     39.922      0.000
    AUTH13             0.728      0.023     31.504      0.000
    AUTH14             0.472      0.027     17.397      0.000

 AUTH2    BY
    AUTH21             0.783      0.024     32.384      0.000
    AUTH22             0.828      0.021     39.990      0.000
    AUTH23             0.755      0.022     33.752      0.000
    AUTH24             0.489      0.028     17.591      0.000

 AUTH2    ON
    AUTH1              0.963      0.033     29.111      0.000
    MORAL             -0.061      0.038     -1.610      0.107

 AUTH1    WITH
    MORAL              0.552      0.029     19.378      0.000

 AUTH11   WITH
    AUTH21             0.432      0.065      6.673      0.000

 AUTH12   WITH
    AUTH22             0.390      0.069      5.650      0.000

 AUTH13   WITH
    AUTH23             0.472      0.055      8.652      0.000

 AUTH14   WITH
    AUTH24             0.557      0.037     14.925      0.000

 Intercepts
    AUTH2             -0.179      0.025     -7.045      0.000

 Thresholds
    AUTH11$1          -0.769      0.032    -24.331      0.000
    AUTH12$1          -0.163      0.029     -5.593      0.000
    AUTH13$1          -0.468      0.030    -15.738      0.000
    AUTH14$1           0.387      0.028     13.788      0.000
    AUTH21$1          -0.769      0.032    -24.331      0.000
    AUTH22$1          -0.163      0.029     -5.593      0.000
    AUTH23$1          -0.468      0.030    -15.738      0.000
    AUTH24$1           0.387      0.028     13.788      0.000
    MORAL1$1          -1.454      0.047    -30.754      0.000
    MORAL1$2          -0.420      0.033    -12.886      0.000
    MORAL1$3          -0.045      0.032     -1.436      0.151
    MORAL1$4           0.604      0.034     17.881      0.000
    MORAL2$1          -1.380      0.045    -30.429      0.000
    MORAL2$2          -0.712      0.035    -20.547      0.000
    MORAL2$3          -0.226      0.032     -7.075      0.000
    MORAL2$4           0.698      0.035     20.211      0.000
    MORAL3$1          -1.015      0.038    -26.519      0.000
    MORAL3$2           0.043      0.032      1.361      0.173
    MORAL3$3           0.682      0.034     19.807      0.000
    MORAL3$4           1.440      0.047     30.694      0.000
    MORAL4$1          -1.552      0.050    -30.949      0.000
    MORAL4$2          -0.971      0.038    -25.805      0.000
    MORAL4$3          -0.394      0.032    -12.137      0.000
    MORAL4$4           0.446      0.033     13.633      0.000

 Variances
    MORAL              1.000      0.000    999.000    999.000
    AUTH1              1.000      0.000    999.000    999.000

 Residual Variances
    AUTH2              0.134      0.038      3.548      0.000


STD Standardization

                                                    Two-Tailed
                    Estimate       S.E.  Est./S.E.    P-Value

 MORAL    BY
    MORAL1             0.605      0.019     32.157      0.000
    MORAL2             0.867      0.013     65.770      0.000
    MORAL3             0.642      0.018     35.115      0.000
    MORAL4             0.818      0.014     57.163      0.000

 AUTH1    BY
    AUTH11             0.755      0.025     30.247      0.000
    AUTH12             0.799      0.020     39.922      0.000
    AUTH13             0.728      0.023     31.504      0.000
    AUTH14             0.472      0.027     17.397      0.000

 AUTH2    BY
    AUTH21             0.783      0.024     32.384      0.000
    AUTH22             0.828      0.021     39.990      0.000
    AUTH23             0.755      0.022     33.752      0.000
    AUTH24             0.489      0.028     17.591      0.000

 AUTH2    ON
    AUTH1              0.963      0.033     29.111      0.000
    MORAL             -0.061      0.038     -1.610      0.107

 AUTH1    WITH
    MORAL              0.552      0.029     19.378      0.000

 AUTH11   WITH
    AUTH21             0.176      0.034      5.148      0.000

 AUTH12   WITH
    AUTH22             0.132      0.029      4.546      0.000

 AUTH13   WITH
    AUTH23             0.212      0.031      6.767      0.000

 AUTH14   WITH
    AUTH24             0.428      0.034     12.627      0.000

 Intercepts
    AUTH2             -0.179      0.025     -7.045      0.000

 Thresholds
    AUTH11$1          -0.769      0.032    -24.331      0.000
    AUTH12$1          -0.163      0.029     -5.593      0.000
    AUTH13$1          -0.468      0.030    -15.738      0.000
    AUTH14$1           0.387      0.028     13.788      0.000
    AUTH21$1          -0.769      0.032    -24.331      0.000
    AUTH22$1          -0.163      0.029     -5.593      0.000
    AUTH23$1          -0.468      0.030    -15.738      0.000
    AUTH24$1           0.387      0.028     13.788      0.000
    MORAL1$1          -1.454      0.047    -30.754      0.000
    MORAL1$2          -0.420      0.033    -12.886      0.000
    MORAL1$3          -0.045      0.032     -1.436      0.151
    MORAL1$4           0.604      0.034     17.881      0.000
    MORAL2$1          -1.380      0.045    -30.429      0.000
    MORAL2$2          -0.712      0.035    -20.547      0.000
    MORAL2$3          -0.226      0.032     -7.075      0.000
    MORAL2$4           0.698      0.035     20.211      0.000
    MORAL3$1          -1.015      0.038    -26.519      0.000
    MORAL3$2           0.043      0.032      1.361      0.173
    MORAL3$3           0.682      0.034     19.807      0.000
    MORAL3$4           1.440      0.047     30.694      0.000
    MORAL4$1          -1.552      0.050    -30.949      0.000
    MORAL4$2          -0.971      0.038    -25.805      0.000
    MORAL4$3          -0.394      0.032    -12.137      0.000
    MORAL4$4           0.446      0.033     13.633      0.000

 Variances
    MORAL              1.000      0.000    999.000    999.000
    AUTH1              1.000      0.000    999.000    999.000

 Residual Variances
    AUTH2              0.134      0.038      3.548      0.000


R-SQUARE

    Observed                                        Two-Tailed   Residual
    Variable        Estimate       S.E.  Est./S.E.    P-Value    Variance

    AUTH11             0.570      0.038     15.123      0.000      0.430
    AUTH12             0.638      0.032     19.961      0.000      0.362
    AUTH13             0.530      0.034     15.752      0.000      0.470
    AUTH14             0.223      0.026      8.698      0.000      0.777
    AUTH21             0.613      0.038     16.192      0.000      0.387
    AUTH22             0.686      0.034     19.995      0.000      0.314
    AUTH23             0.570      0.034     16.876      0.000      0.430
    AUTH24             0.239      0.027      8.796      0.000      0.761
    MORAL1             0.366      0.023     16.078      0.000      0.634
    MORAL2             0.751      0.023     32.885      0.000      0.249
    MORAL3             0.412      0.023     17.558      0.000      0.588
    MORAL4             0.670      0.023     28.581      0.000      0.330

     Latent                                         Two-Tailed
    Variable        Estimate       S.E.  Est./S.E.    P-Value

    AUTH2              0.866      0.038     22.836      0.000


QUALITY OF NUMERICAL RESULTS

     Condition Number for the Information Matrix              0.299E-02
       (ratio of smallest to largest eigenvalue)


     Beginning Time:  14:53:24
        Ending Time:  14:53:24
       Elapsed Time:  00:00:00



MUTHEN & MUTHEN
3463 Stoner Ave.
Los Angeles, CA  90066

Tel: (310) 391-9971
Fax: (310) 391-8971
Web: www.StatModel.com
Support: Support@StatModel.com

Copyright (c) 1998-2013 Muthen & Muthen

. runmplus auth11 auth12 auth13 auth14 auth21 auth22 auth23 auth24 resent1 resent2 resen
> t3 resent4, categorical(auth11 auth12 auth13 auth14 auth21 auth22 auth23 auth24 resent
> 1 resent2 resent3 resent4) model(Resent by resent1 resent2 resent3 resent4; Auth1 by a
> uth11 auth12 auth13 auth14 (a1-a4) ; Auth2 by auth21 auth22 auth23 auth24 (a1-a4) ; au
> th11 auth12 auth13 auth14 pwith auth21 auth22 auth23 auth24; [auth11$1] (t1); [auth21$
> 1] (t1); [auth12$1] (t2); [auth22$1] (t2); [auth13$1] (t3); [auth23$1] (t3); [auth14$1
> ] (t4); [auth24$1] (t4); Auth2 on Auth1 Resent; [Auth2]; ) stand
THE MODEL ESTIMATION TERMINATED NORMALLY
Mplus VERSION 7.11
MUTHEN & MUTHEN
03/19/2021   2:55 PM

INPUT INSTRUCTIONS

  TITLE:
    Variable List -

    auth11 : RECODE of auth_ind (POST: Child trait more important: independence or respe
> ct)
    auth12 : RECODE of auth_obed (POST: Child trait more important: obedience or self-re
> lian
    auth13 : RECODE of auth_cur (POST: Child trait more important: curiosity or good man
> ners
    auth14 : RECODE of auth_consid (POST: Child trait more important: considerate or wel
> l-be
    auth21 : RECODE of C5_H1 (Please tell us which one you think is more important for a
>  chi
    auth22 : RECODE of C5_H2 (Please tell us which one you think is more important for a
>  chi
    auth23 : RECODE of C5_H3 (Please tell us which one you think is more important for a
>  chi
    auth24 : RECODE of C5_H4 (Please tell us which one you think is more important for a
>  chi
    resent1 : RECODE of resent_workway (POST: Agree/disagree: blacks shd work way up w/o
>  spe
    resent2 : RECODE of resent_slavery (POST: Agree/disagree: past slavery make more dif
> f fo
    resent3 : RECODE of resent_deserve (POST: Agree/disagree: blacks have gotten less th
> an d
    resent4 : RECODE of resent_try (POST: Agree/disagree: blacks must try harder to get 
> ahea

  DATA:
    FILE = __000001.dat ;
  VARIABLE:
    NAMES =
      auth11 auth12 auth13 auth14 auth21 auth22 auth23 auth24 resent1
  resent2 resent3 resent4 ;
    MISSING ARE ALL (-9999) ;
    CATEGORICAL =
      auth11
      auth12
      auth13
      auth14
      auth21
      auth22
      auth23
      auth24
      resent1
      resent2
      resent3
      resent4
      ;
  ANALYSIS:
  OUTPUT:
     STANDARDIZED ;
  MODEL:
  Resent by resent1 resent2 resent3 resent4 ;
  Auth1 by auth11 auth12 auth13 auth14 (a1-a4)  ;
  Auth2 by auth21 auth22 auth23 auth24 (a1-a4)  ;
  auth11 auth12 auth13 auth14 pwith auth21 auth22 auth23 auth24 ;
  [auth11$1] (t1) ;
  [auth21$1] (t1) ;
  [auth12$1] (t2) ;
  [auth22$1] (t2) ;
  [auth13$1] (t3) ;
  [auth23$1] (t3) ;
  [auth14$1] (t4) ;
  [auth24$1] (t4) ;
  Auth2 on Auth1 Resent ;
  [Auth2] ;




*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    auth12 : RECODE of auth_obed (POST: Child trait more important: obedience or self-re
> lianc
*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    auth13 : RECODE of auth_cur (POST: Child trait more important: curiosity or good man
> ners)
*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    auth14 : RECODE of auth_consid (POST: Child trait more important: considerate or wel
> l-beh
*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    auth21 : RECODE of C5_H1 (Please tell us which one you think is more important for a
>  chil
*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    auth22 : RECODE of C5_H2 (Please tell us which one you think is more important for a
>  chil
*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    auth23 : RECODE of C5_H3 (Please tell us which one you think is more important for a
>  chil
*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    auth24 : RECODE of C5_H4 (Please tell us which one you think is more important for a
>  chil
*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    resent1 : RECODE of resent_workway (POST: Agree/disagree: blacks shd work way up w/o
>  spec
*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    resent2 : RECODE of resent_slavery (POST: Agree/disagree: past slavery make more dif
> f for
*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    resent3 : RECODE of resent_deserve (POST: Agree/disagree: blacks have gotten less th
> an de
*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    resent4 : RECODE of resent_try (POST: Agree/disagree: blacks must try harder to get 
> ahead
*** WARNING
  Data set contains cases with missing on all variables.
  These cases were not included in the analysis.
  Number of cases with missing on all variables:  3
  12 WARNING(S) FOUND IN THE INPUT INSTRUCTIONS




Variable List -

auth11 : RECODE of auth_ind (POST: Child trait more important: independence or respect)
auth12 : RECODE of auth_obed (POST: Child trait more important: obedience or self-relian
auth13 : RECODE of auth_cur (POST: Child trait more important: curiosity or good manners
auth14 : RECODE of auth_consid (POST: Child trait more important: considerate or well-be
auth21 : RECODE of C5_H1 (Please tell us which one you think is more important for a chi
auth22 : RECODE of C5_H2 (Please tell us which one you think is more important for a chi
auth23 : RECODE of C5_H3 (Please tell us which one you think is more important for a chi
auth24 : RECODE of C5_H4 (Please tell us which one you think is more important for a chi
resent1 : RECODE of resent_workway (POST: Agree/disagree: blacks shd work way up w/o spe
resent2 : RECODE of resent_slavery (POST: Agree/disagree: past slavery make more diff fo
resent3 : RECODE of resent_deserve (POST: Agree/disagree: blacks have gotten less than d
resent4 : RECODE of resent_try (POST: Agree/disagree: blacks must try harder to get ahea

SUMMARY OF ANALYSIS

Number of groups                                                 1
Number of observations                                        1632

Number of dependent variables                                   12
Number of independent variables                                  0
Number of continuous latent variables                            3

Observed dependent variables

  Binary and ordered categorical (ordinal)
   AUTH11      AUTH12      AUTH13      AUTH14      AUTH21      AUTH22
   AUTH23      AUTH24      RESENT1     RESENT2     RESENT3     RESENT4

Continuous latent variables
   RESENT      AUTH1       AUTH2


Estimator                                                    WLSMV
Maximum number of iterations                                  1000
Convergence criterion                                    0.500D-04
Maximum number of steepest descent iterations                   20
Maximum number of iterations for H1                           2000
Convergence criterion for H1                             0.100D-03
Parameterization                                             DELTA

Input data file(s)
  __000001.dat

Input data format  FREE


SUMMARY OF DATA

     Number of missing data patterns            18


COVARIANCE COVERAGE OF DATA

Minimum covariance coverage value   0.100


     PROPORTION OF DATA PRESENT


           Covariance Coverage
              AUTH11        AUTH12        AUTH13        AUTH14        AUTH21
              ________      ________      ________      ________      ________
 AUTH11         0.965
 AUTH12         0.964         0.964
 AUTH13         0.963         0.962         0.963
 AUTH14         0.964         0.963         0.963         0.964
 AUTH21         0.942         0.941         0.940         0.941         0.977
 AUTH22         0.942         0.942         0.941         0.942         0.975
 AUTH23         0.944         0.942         0.942         0.943         0.977
 AUTH24         0.942         0.942         0.941         0.942         0.975
 RESENT1        0.786         0.785         0.784         0.785         0.768
 RESENT2        0.965         0.964         0.963         0.964         0.942
 RESENT3        0.965         0.964         0.963         0.964         0.942
 RESENT4        0.725         0.725         0.724         0.724         0.707


           Covariance Coverage
              AUTH22        AUTH23        AUTH24        RESENT1       RESENT2
              ________      ________      ________      ________      ________
 AUTH22         0.977
 AUTH23         0.977         0.979
 AUTH24         0.977         0.977         0.977
 RESENT1        0.769         0.769         0.768         0.786
 RESENT2        0.942         0.944         0.942         0.786         0.965
 RESENT3        0.942         0.944         0.942         0.786         0.965
 RESENT4        0.707         0.708         0.707         0.638         0.725


           Covariance Coverage
              RESENT3       RESENT4
              ________      ________
 RESENT3        0.965
 RESENT4        0.725         0.725


UNIVARIATE PROPORTIONS AND COUNTS FOR CATEGORICAL VARIABLES

    AUTH11
      Category 1    0.215      338.000
      Category 2    0.785     1237.000
    AUTH12
      Category 1    0.442      696.000
      Category 2    0.558      877.000
    AUTH13
      Category 1    0.315      495.000
      Category 2    0.685     1077.000
    AUTH14
      Category 1    0.657     1034.000
      Category 2    0.343      540.000
    AUTH21
      Category 1    0.271      432.000
      Category 2    0.729     1162.000
    AUTH22
      Category 1    0.487      776.000
      Category 2    0.513      819.000
    AUTH23
      Category 1    0.374      598.000
      Category 2    0.626      999.000
    AUTH24
      Category 1    0.676     1079.000
      Category 2    0.324      516.000
    RESENT1
      Category 1    0.066       85.000
      Category 2    0.172      221.000
      Category 3    0.385      494.000
      Category 4    0.376      482.000
    RESENT2
      Category 1    0.083      130.000
      Category 2    0.255      401.000
      Category 3    0.150      236.000
      Category 4    0.279      439.000
      Category 5    0.234      369.000
    RESENT3
      Category 1    0.048       76.000
      Category 2    0.131      207.000
      Category 3    0.267      420.000
      Category 4    0.289      455.000
      Category 5    0.265      417.000
    RESENT4
      Category 1    0.119      141.000
      Category 2    0.261      309.000
      Category 3    0.400      473.000
      Category 4    0.220      260.000



THE MODEL ESTIMATION TERMINATED NORMALLY



MODEL FIT INFORMATION

Number of Free Parameters                       35

Chi-Square Test of Model Fit

          Value                            318.048*
          Degrees of Freedom                    53
          P-Value                           0.0000

*   The chi-square value for MLM, MLMV, MLR, ULSMV, WLSM and WLSMV cannot be used
    for chi-square difference testing in the regular way.  MLM, MLR and WLSM
    chi-square difference testing is described on the Mplus website.  MLMV, WLSMV,
    and ULSMV difference testing is done using the DIFFTEST option.

RMSEA (Root Mean Square Error Of Approximation)

          Estimate                           0.055
          90 Percent C.I.                    0.050  0.061
          Probability RMSEA <= .05           0.063

CFI/TLI

          CFI                                0.980
          TLI                                0.975

Chi-Square Test of Model Fit for the Baseline Model

          Value                          13057.108
          Degrees of Freedom                    66
          P-Value                           0.0000

WRMR (Weighted Root Mean Square Residual)

          Value                              1.708



MODEL RESULTS

                                                    Two-Tailed
                    Estimate       S.E.  Est./S.E.    P-Value

 RESENT   BY
    RESENT1            1.000      0.000    999.000    999.000
    RESENT2            0.902      0.016     57.765      0.000
    RESENT3            0.880      0.015     58.755      0.000
    RESENT4            0.970      0.018     54.215      0.000

 AUTH1    BY
    AUTH11             1.000      0.000    999.000    999.000
    AUTH12             1.057      0.045     23.713      0.000
    AUTH13             1.078      0.045     23.756      0.000
    AUTH14             0.707      0.043     16.581      0.000

 AUTH2    BY
    AUTH21             1.000      0.000    999.000    999.000
    AUTH22             1.057      0.045     23.713      0.000
    AUTH23             1.078      0.045     23.756      0.000
    AUTH24             0.707      0.043     16.581      0.000

 AUTH2    ON
    AUTH1              0.978      0.034     28.709      0.000
    RESENT            -0.034      0.027     -1.252      0.211

 AUTH1    WITH
    RESENT             0.224      0.024      9.225      0.000

 AUTH11   WITH
    AUTH21             0.225      0.034      6.567      0.000

 AUTH12   WITH
    AUTH22             0.187      0.030      6.196      0.000

 AUTH13   WITH
    AUTH23             0.141      0.032      4.446      0.000

 AUTH14   WITH
    AUTH24             0.392      0.035     11.276      0.000

 Intercepts
    AUTH2             -0.133      0.019     -7.066      0.000

 Thresholds
    AUTH11$1          -0.765      0.031    -24.366      0.000
    AUTH12$1          -0.160      0.029     -5.494      0.000
    AUTH13$1          -0.473      0.030    -15.749      0.000
    AUTH14$1           0.384      0.028     13.632      0.000
    AUTH21$1          -0.765      0.031    -24.366      0.000
    AUTH22$1          -0.160      0.029     -5.494      0.000
    AUTH23$1          -0.473      0.030    -15.749      0.000
    AUTH24$1           0.384      0.028     13.632      0.000
    RESENT1$1         -1.504      0.054    -27.866      0.000
    RESENT1$2         -0.711      0.038    -18.497      0.000
    RESENT1$3          0.316      0.036      8.867      0.000
    RESENT2$1         -1.388      0.046    -30.473      0.000
    RESENT2$2         -0.420      0.033    -12.886      0.000
    RESENT2$3         -0.033      0.032     -1.033      0.302
    RESENT2$4          0.725      0.035     20.835      0.000
    RESENT3$1         -1.662      0.054    -30.855      0.000
    RESENT3$2         -0.917      0.037    -24.834      0.000
    RESENT3$3         -0.135      0.032     -4.257      0.000
    RESENT3$4          0.629      0.034     18.516      0.000
    RESENT4$1         -1.179      0.047    -24.918      0.000
    RESENT4$2         -0.304      0.037     -8.215      0.000
    RESENT4$3          0.773      0.041     18.998      0.000

 Variances
    RESENT             0.788      0.019     41.891      0.000
    AUTH1              0.519      0.037     14.029      0.000

 Residual Variances
    AUTH2              0.078      0.021      3.644      0.000


STANDARDIZED MODEL RESULTS


STDYX Standardization

                                                    Two-Tailed
                    Estimate       S.E.  Est./S.E.    P-Value

 RESENT   BY
    RESENT1            0.888      0.011     83.781      0.000
    RESENT2            0.801      0.011     71.834      0.000
    RESENT3            0.781      0.011     68.355      0.000
    RESENT4            0.861      0.011     78.350      0.000

 AUTH1    BY
    AUTH11             0.721      0.026     28.058      0.000
    AUTH12             0.762      0.021     36.047      0.000
    AUTH13             0.777      0.023     34.208      0.000
    AUTH14             0.510      0.027     18.801      0.000

 AUTH2    BY
    AUTH21             0.749      0.025     29.899      0.000
    AUTH22             0.791      0.022     36.685      0.000
    AUTH23             0.807      0.022     36.420      0.000
    AUTH24             0.529      0.028     18.990      0.000

 AUTH2    ON
    AUTH1              0.941      0.024     38.848      0.000
    RESENT            -0.040      0.032     -1.255      0.209

 AUTH1    WITH
    RESENT             0.350      0.035     10.133      0.000

 AUTH11   WITH
    AUTH21             0.490      0.056      8.702      0.000

 AUTH12   WITH
    AUTH22             0.473      0.058      8.097      0.000

 AUTH13   WITH
    AUTH23             0.381      0.068      5.559      0.000

 AUTH14   WITH
    AUTH24             0.538      0.039     13.616      0.000

 Intercepts
    AUTH2             -0.178      0.025     -7.013      0.000

 Thresholds
    AUTH11$1          -0.765      0.031    -24.366      0.000
    AUTH12$1          -0.160      0.029     -5.494      0.000
    AUTH13$1          -0.473      0.030    -15.749      0.000
    AUTH14$1           0.384      0.028     13.632      0.000
    AUTH21$1          -0.765      0.031    -24.366      0.000
    AUTH22$1          -0.160      0.029     -5.494      0.000
    AUTH23$1          -0.473      0.030    -15.749      0.000
    AUTH24$1           0.384      0.028     13.632      0.000
    RESENT1$1         -1.504      0.054    -27.866      0.000
    RESENT1$2         -0.711      0.038    -18.497      0.000
    RESENT1$3          0.316      0.036      8.867      0.000
    RESENT2$1         -1.388      0.046    -30.473      0.000
    RESENT2$2         -0.420      0.033    -12.886      0.000
    RESENT2$3         -0.033      0.032     -1.033      0.302
    RESENT2$4          0.725      0.035     20.835      0.000
    RESENT3$1         -1.662      0.054    -30.855      0.000
    RESENT3$2         -0.917      0.037    -24.834      0.000
    RESENT3$3         -0.135      0.032     -4.257      0.000
    RESENT3$4          0.629      0.034     18.516      0.000
    RESENT4$1         -1.179      0.047    -24.918      0.000
    RESENT4$2         -0.304      0.037     -8.215      0.000
    RESENT4$3          0.773      0.041     18.998      0.000

 Variances
    RESENT             1.000      0.000    999.000    999.000
    AUTH1              1.000      0.000    999.000    999.000

 Residual Variances
    AUTH2              0.139      0.037      3.772      0.000


STDY Standardization

                                                    Two-Tailed
                    Estimate       S.E.  Est./S.E.    P-Value

 RESENT   BY
    RESENT1            0.888      0.011     83.781      0.000
    RESENT2            0.801      0.011     71.834      0.000
    RESENT3            0.781      0.011     68.355      0.000
    RESENT4            0.861      0.011     78.350      0.000

 AUTH1    BY
    AUTH11             0.721      0.026     28.058      0.000
    AUTH12             0.762      0.021     36.047      0.000
    AUTH13             0.777      0.023     34.208      0.000
    AUTH14             0.510      0.027     18.801      0.000

 AUTH2    BY
    AUTH21             0.749      0.025     29.899      0.000
    AUTH22             0.791      0.022     36.685      0.000
    AUTH23             0.807      0.022     36.420      0.000
    AUTH24             0.529      0.028     18.990      0.000

 AUTH2    ON
    AUTH1              0.941      0.024     38.848      0.000
    RESENT            -0.040      0.032     -1.255      0.209

 AUTH1    WITH
    RESENT             0.350      0.035     10.133      0.000

 AUTH11   WITH
    AUTH21             0.490      0.056      8.702      0.000

 AUTH12   WITH
    AUTH22             0.473      0.058      8.097      0.000

 AUTH13   WITH
    AUTH23             0.381      0.068      5.559      0.000

 AUTH14   WITH
    AUTH24             0.538      0.039     13.616      0.000

 Intercepts
    AUTH2             -0.178      0.025     -7.013      0.000

 Thresholds
    AUTH11$1          -0.765      0.031    -24.366      0.000
    AUTH12$1          -0.160      0.029     -5.494      0.000
    AUTH13$1          -0.473      0.030    -15.749      0.000
    AUTH14$1           0.384      0.028     13.632      0.000
    AUTH21$1          -0.765      0.031    -24.366      0.000
    AUTH22$1          -0.160      0.029     -5.494      0.000
    AUTH23$1          -0.473      0.030    -15.749      0.000
    AUTH24$1           0.384      0.028     13.632      0.000
    RESENT1$1         -1.504      0.054    -27.866      0.000
    RESENT1$2         -0.711      0.038    -18.497      0.000
    RESENT1$3          0.316      0.036      8.867      0.000
    RESENT2$1         -1.388      0.046    -30.473      0.000
    RESENT2$2         -0.420      0.033    -12.886      0.000
    RESENT2$3         -0.033      0.032     -1.033      0.302
    RESENT2$4          0.725      0.035     20.835      0.000
    RESENT3$1         -1.662      0.054    -30.855      0.000
    RESENT3$2         -0.917      0.037    -24.834      0.000
    RESENT3$3         -0.135      0.032     -4.257      0.000
    RESENT3$4          0.629      0.034     18.516      0.000
    RESENT4$1         -1.179      0.047    -24.918      0.000
    RESENT4$2         -0.304      0.037     -8.215      0.000
    RESENT4$3          0.773      0.041     18.998      0.000

 Variances
    RESENT             1.000      0.000    999.000    999.000
    AUTH1              1.000      0.000    999.000    999.000

 Residual Variances
    AUTH2              0.139      0.037      3.772      0.000


STD Standardization

                                                    Two-Tailed
                    Estimate       S.E.  Est./S.E.    P-Value

 RESENT   BY
    RESENT1            0.888      0.011     83.781      0.000
    RESENT2            0.801      0.011     71.834      0.000
    RESENT3            0.781      0.011     68.355      0.000
    RESENT4            0.861      0.011     78.350      0.000

 AUTH1    BY
    AUTH11             0.721      0.026     28.058      0.000
    AUTH12             0.762      0.021     36.047      0.000
    AUTH13             0.777      0.023     34.208      0.000
    AUTH14             0.510      0.027     18.801      0.000

 AUTH2    BY
    AUTH21             0.749      0.025     29.899      0.000
    AUTH22             0.791      0.022     36.685      0.000
    AUTH23             0.807      0.022     36.420      0.000
    AUTH24             0.529      0.028     18.990      0.000

 AUTH2    ON
    AUTH1              0.941      0.024     38.848      0.000
    RESENT            -0.040      0.032     -1.255      0.209

 AUTH1    WITH
    RESENT             0.350      0.035     10.133      0.000

 AUTH11   WITH
    AUTH21             0.225      0.034      6.567      0.000

 AUTH12   WITH
    AUTH22             0.187      0.030      6.196      0.000

 AUTH13   WITH
    AUTH23             0.141      0.032      4.446      0.000

 AUTH14   WITH
    AUTH24             0.392      0.035     11.276      0.000

 Intercepts
    AUTH2             -0.178      0.025     -7.013      0.000

 Thresholds
    AUTH11$1          -0.765      0.031    -24.366      0.000
    AUTH12$1          -0.160      0.029     -5.494      0.000
    AUTH13$1          -0.473      0.030    -15.749      0.000
    AUTH14$1           0.384      0.028     13.632      0.000
    AUTH21$1          -0.765      0.031    -24.366      0.000
    AUTH22$1          -0.160      0.029     -5.494      0.000
    AUTH23$1          -0.473      0.030    -15.749      0.000
    AUTH24$1           0.384      0.028     13.632      0.000
    RESENT1$1         -1.504      0.054    -27.866      0.000
    RESENT1$2         -0.711      0.038    -18.497      0.000
    RESENT1$3          0.316      0.036      8.867      0.000
    RESENT2$1         -1.388      0.046    -30.473      0.000
    RESENT2$2         -0.420      0.033    -12.886      0.000
    RESENT2$3         -0.033      0.032     -1.033      0.302
    RESENT2$4          0.725      0.035     20.835      0.000
    RESENT3$1         -1.662      0.054    -30.855      0.000
    RESENT3$2         -0.917      0.037    -24.834      0.000
    RESENT3$3         -0.135      0.032     -4.257      0.000
    RESENT3$4          0.629      0.034     18.516      0.000
    RESENT4$1         -1.179      0.047    -24.918      0.000
    RESENT4$2         -0.304      0.037     -8.215      0.000
    RESENT4$3          0.773      0.041     18.998      0.000

 Variances
    RESENT             1.000      0.000    999.000    999.000
    AUTH1              1.000      0.000    999.000    999.000

 Residual Variances
    AUTH2              0.139      0.037      3.772      0.000


R-SQUARE

    Observed                                        Two-Tailed   Residual
    Variable        Estimate       S.E.  Est./S.E.    P-Value    Variance

    AUTH11             0.519      0.037     14.029      0.000      0.481
    AUTH12             0.580      0.032     18.023      0.000      0.420
    AUTH13             0.604      0.035     17.104      0.000      0.396
    AUTH14             0.260      0.028      9.401      0.000      0.740
    AUTH21             0.560      0.037     14.950      0.000      0.440
    AUTH22             0.626      0.034     18.343      0.000      0.374
    AUTH23             0.652      0.036     18.210      0.000      0.348
    AUTH24             0.280      0.029      9.495      0.000      0.720
    RESENT1            0.788      0.019     41.891      0.000      0.212
    RESENT2            0.641      0.018     35.917      0.000      0.359
    RESENT3            0.610      0.018     34.177      0.000      0.390
    RESENT4            0.741      0.019     39.175      0.000      0.259

     Latent                                         Two-Tailed
    Variable        Estimate       S.E.  Est./S.E.    P-Value

    AUTH2              0.861      0.037     23.330      0.000


QUALITY OF NUMERICAL RESULTS

     Condition Number for the Information Matrix              0.737E-02
       (ratio of smallest to largest eigenvalue)


     Beginning Time:  14:55:37
        Ending Time:  14:55:37
       Elapsed Time:  00:00:00



MUTHEN & MUTHEN
3463 Stoner Ave.
Los Angeles, CA  90066

Tel: (310) 391-9971
Fax: (310) 391-8971
Web: www.StatModel.com
Support: Support@StatModel.com

Copyright (c) 1998-2013 Muthen & Muthen

. runmplus auth11 auth12 auth13 auth14 auth21 auth22 auth23 auth24 relig1 relig2 relig3 
> relig4, categorical(auth11 auth12 auth13 auth14 auth21 auth22 auth23 auth24 relig1 rel
> ig2 relig3 relig4) model(Relig by relig1 relig2 relig3 relig4; Auth1 by auth11 auth12 
> auth13 auth14 (a1-a4) ; Auth2 by auth21 auth22 auth23 auth24 (a1-a4) ; auth11 auth12 a
> uth13 auth14 pwith auth21 auth22 auth23 auth24; [auth11$1] (t1); [auth21$1] (t1); [aut
> h12$1] (t2); [auth22$1] (t2); [auth13$1] (t3); [auth23$1] (t3); [auth14$1] (t4); [auth
> 24$1] (t4); Auth2 on Auth1 Relig; [Auth2]; ) stand
THE MODEL ESTIMATION TERMINATED NORMALLY
Mplus VERSION 7.11
MUTHEN & MUTHEN
03/19/2021   2:57 PM

INPUT INSTRUCTIONS

  TITLE:
    Variable List -

    auth11 : RECODE of auth_ind (POST: Child trait more important: independence or respe
> ct)
    auth12 : RECODE of auth_obed (POST: Child trait more important: obedience or self-re
> lian
    auth13 : RECODE of auth_cur (POST: Child trait more important: curiosity or good man
> ners
    auth14 : RECODE of auth_consid (POST: Child trait more important: considerate or wel
> l-be
    auth21 : RECODE of C5_H1 (Please tell us which one you think is more important for a
>  chi
    auth22 : RECODE of C5_H2 (Please tell us which one you think is more important for a
>  chi
    auth23 : RECODE of C5_H3 (Please tell us which one you think is more important for a
>  chi
    auth24 : RECODE of C5_H4 (Please tell us which one you think is more important for a
>  chi
    relig1 : RECODE of relig_import (PRE: Is religion important part of R life)
    relig2 : RECODE of relig_guide (PRE: Religion provides guidance in day-to-day living
> )
    relig3 : RECODE of relig_pray (PRE: How often does R pray)
    relig4 : RECODE of relig_churchoft (PRE: Attend religious services how often)

  DATA:
    FILE = __000001.dat ;
  VARIABLE:
    NAMES =
      auth11 auth12 auth13 auth14 auth21 auth22 auth23 auth24 relig1
  relig2 relig3 relig4 ;
    MISSING ARE ALL (-9999) ;
    CATEGORICAL =
      auth11
      auth12
      auth13
      auth14
      auth21
      auth22
      auth23
      auth24
      relig1
      relig2
      relig3
      relig4
      ;
  ANALYSIS:
  OUTPUT:
     STANDARDIZED ;
  MODEL:
  Relig by relig1 relig2 relig3 relig4 ;
  Auth1 by auth11 auth12 auth13 auth14 (a1-a4)  ;
  Auth2 by auth21 auth22 auth23 auth24 (a1-a4)  ;
  auth11 auth12 auth13 auth14 pwith auth21 auth22 auth23 auth24 ;
  [auth11$1] (t1) ;
  [auth21$1] (t1) ;
  [auth12$1] (t2) ;
  [auth22$1] (t2) ;
  [auth13$1] (t3) ;
  [auth23$1] (t3) ;
  [auth14$1] (t4) ;
  [auth24$1] (t4) ;
  Auth2 on Auth1 Relig ;
  [Auth2] ;




*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    auth12 : RECODE of auth_obed (POST: Child trait more important: obedience or self-re
> lianc
*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    auth13 : RECODE of auth_cur (POST: Child trait more important: curiosity or good man
> ners)
*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    auth14 : RECODE of auth_consid (POST: Child trait more important: considerate or wel
> l-beh
*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    auth21 : RECODE of C5_H1 (Please tell us which one you think is more important for a
>  chil
*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    auth22 : RECODE of C5_H2 (Please tell us which one you think is more important for a
>  chil
*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    auth23 : RECODE of C5_H3 (Please tell us which one you think is more important for a
>  chil
*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    auth24 : RECODE of C5_H4 (Please tell us which one you think is more important for a
>  chil
   7 WARNING(S) FOUND IN THE INPUT INSTRUCTIONS




Variable List -

auth11 : RECODE of auth_ind (POST: Child trait more important: independence or respect)
auth12 : RECODE of auth_obed (POST: Child trait more important: obedience or self-relian
auth13 : RECODE of auth_cur (POST: Child trait more important: curiosity or good manners
auth14 : RECODE of auth_consid (POST: Child trait more important: considerate or well-be
auth21 : RECODE of C5_H1 (Please tell us which one you think is more important for a chi
auth22 : RECODE of C5_H2 (Please tell us which one you think is more important for a chi
auth23 : RECODE of C5_H3 (Please tell us which one you think is more important for a chi
auth24 : RECODE of C5_H4 (Please tell us which one you think is more important for a chi
relig1 : RECODE of relig_import (PRE: Is religion important part of R life)
relig2 : RECODE of relig_guide (PRE: Religion provides guidance in day-to-day living)
relig3 : RECODE of relig_pray (PRE: How often does R pray)
relig4 : RECODE of relig_churchoft (PRE: Attend religious services how often)

SUMMARY OF ANALYSIS

Number of groups                                                 1
Number of observations                                        1635

Number of dependent variables                                   12
Number of independent variables                                  0
Number of continuous latent variables                            3

Observed dependent variables

  Binary and ordered categorical (ordinal)
   AUTH11      AUTH12      AUTH13      AUTH14      AUTH21      AUTH22
   AUTH23      AUTH24      RELIG1      RELIG2      RELIG3      RELIG4

Continuous latent variables
   RELIG       AUTH1       AUTH2


Estimator                                                    WLSMV
Maximum number of iterations                                  1000
Convergence criterion                                    0.500D-04
Maximum number of steepest descent iterations                   20
Maximum number of iterations for H1                           2000
Convergence criterion for H1                             0.100D-03
Parameterization                                             DELTA

Input data file(s)
  __000001.dat

Input data format  FREE


SUMMARY OF DATA

     Number of missing data patterns            26


COVARIANCE COVERAGE OF DATA

Minimum covariance coverage value   0.100


     PROPORTION OF DATA PRESENT


           Covariance Coverage
              AUTH11        AUTH12        AUTH13        AUTH14        AUTH21
              ________      ________      ________      ________      ________
 AUTH11         0.963
 AUTH12         0.962         0.962
 AUTH13         0.961         0.960         0.961
 AUTH14         0.963         0.961         0.961         0.963
 AUTH21         0.940         0.939         0.938         0.939         0.975
 AUTH22         0.941         0.940         0.939         0.940         0.974
 AUTH23         0.942         0.941         0.940         0.941         0.975
 AUTH24         0.941         0.940         0.939         0.940         0.974
 RELIG1         0.961         0.960         0.960         0.961         0.974
 RELIG2         0.630         0.629         0.629         0.629         0.640
 RELIG3         0.958         0.957         0.956         0.957         0.971
 RELIG4         0.961         0.960         0.960         0.961         0.973


           Covariance Coverage
              AUTH22        AUTH23        AUTH24        RELIG1        RELIG2
              ________      ________      ________      ________      ________
 AUTH22         0.976
 AUTH23         0.976         0.977
 AUTH24         0.975         0.976         0.976
 RELIG1         0.974         0.976         0.974         0.997
 RELIG2         0.640         0.641         0.640         0.656         0.656
 RELIG3         0.971         0.972         0.971         0.993         0.654
 RELIG4         0.974         0.975         0.974         0.995         0.654


           Covariance Coverage
              RELIG3        RELIG4
              ________      ________
 RELIG3         0.994
 RELIG4         0.993         0.998


UNIVARIATE PROPORTIONS AND COUNTS FOR CATEGORICAL VARIABLES

    AUTH11
      Category 1    0.215      338.000
      Category 2    0.785     1237.000
    AUTH12
      Category 1    0.442      696.000
      Category 2    0.558      877.000
    AUTH13
      Category 1    0.315      495.000
      Category 2    0.685     1077.000
    AUTH14
      Category 1    0.657     1034.000
      Category 2    0.343      540.000
    AUTH21
      Category 1    0.271      432.000
      Category 2    0.729     1162.000
    AUTH22
      Category 1    0.487      776.000
      Category 2    0.513      819.000
    AUTH23
      Category 1    0.374      598.000
      Category 2    0.626      999.000
    AUTH24
      Category 1    0.676     1079.000
      Category 2    0.324      516.000
    RELIG1
      Category 1    0.342      558.000
      Category 2    0.658     1072.000
    RELIG2
      Category 1    0.208      223.000
      Category 2    0.326      349.000
      Category 3    0.466      500.000
    RELIG3
      Category 1    0.195      317.000
      Category 2    0.196      319.000
      Category 3    0.169      275.000
      Category 4    0.180      293.000
      Category 5    0.259      421.000
    RELIG4
      Category 1    0.449      732.000
      Category 2    0.135      220.000
      Category 3    0.074      121.000
      Category 4    0.112      182.000
      Category 5    0.142      231.000
      Category 6    0.089      146.000



THE MODEL ESTIMATION TERMINATED NORMALLY



MODEL FIT INFORMATION

Number of Free Parameters                       33

Chi-Square Test of Model Fit

          Value                            399.930*
          Degrees of Freedom                    53
          P-Value                           0.0000

*   The chi-square value for MLM, MLMV, MLR, ULSMV, WLSM and WLSMV cannot be used
    for chi-square difference testing in the regular way.  MLM, MLR and WLSM
    chi-square difference testing is described on the Mplus website.  MLMV, WLSMV,
    and ULSMV difference testing is done using the DIFFTEST option.

RMSEA (Root Mean Square Error Of Approximation)

          Estimate                           0.063
          90 Percent C.I.                    0.058  0.069
          Probability RMSEA <= .05           0.000

CFI/TLI

          CFI                                0.970
          TLI                                0.962

Chi-Square Test of Model Fit for the Baseline Model

          Value                          11466.289
          Degrees of Freedom                    66
          P-Value                           0.0000

WRMR (Weighted Root Mean Square Residual)

          Value                              1.997



MODEL RESULTS

                                                    Two-Tailed
                    Estimate       S.E.  Est./S.E.    P-Value

 RELIG    BY
    RELIG1             1.000      0.000    999.000    999.000
    RELIG2             0.496      0.024     20.697      0.000
    RELIG3             0.918      0.021     42.698      0.000
    RELIG4             0.908      0.020     45.477      0.000

 AUTH1    BY
    AUTH11             1.000      0.000    999.000    999.000
    AUTH12             1.125      0.047     23.930      0.000
    AUTH13             1.028      0.044     23.194      0.000
    AUTH14             0.669      0.043     15.655      0.000

 AUTH2    BY
    AUTH21             1.000      0.000    999.000    999.000
    AUTH22             1.125      0.047     23.930      0.000
    AUTH23             1.028      0.044     23.194      0.000
    AUTH24             0.669      0.043     15.655      0.000

 AUTH2    ON
    AUTH1              0.960      0.035     27.056      0.000
    RELIG              0.007      0.025      0.280      0.780

 AUTH1    WITH
    RELIG              0.274      0.024     11.195      0.000

 AUTH11   WITH
    AUTH21             0.225      0.035      6.482      0.000

 AUTH12   WITH
    AUTH22             0.112      0.030      3.731      0.000

 AUTH13   WITH
    AUTH23             0.194      0.032      6.090      0.000

 AUTH14   WITH
    AUTH24             0.418      0.034     12.200      0.000

 Intercepts
    AUTH2             -0.133      0.019     -7.043      0.000

 Thresholds
    AUTH11$1          -0.765      0.031    -24.383      0.000
    AUTH12$1          -0.164      0.029     -5.606      0.000
    AUTH13$1          -0.469      0.030    -15.741      0.000
    AUTH14$1           0.387      0.028     13.760      0.000
    AUTH21$1          -0.765      0.031    -24.383      0.000
    AUTH22$1          -0.164      0.029     -5.606      0.000
    AUTH23$1          -0.469      0.030    -15.741      0.000
    AUTH24$1           0.387      0.028     13.760      0.000
    RELIG1$1          -0.406      0.032    -12.694      0.000
    RELIG2$1          -0.813      0.043    -18.802      0.000
    RELIG2$2           0.084      0.038      2.199      0.028
    RELIG3$1          -0.859      0.036    -24.108      0.000
    RELIG3$2          -0.276      0.032     -8.746      0.000
    RELIG3$3           0.153      0.031      4.885      0.000
    RELIG3$4           0.646      0.034     19.250      0.000
    RELIG4$1          -0.129      0.031     -4.158      0.000
    RELIG4$2           0.210      0.031      6.728      0.000
    RELIG4$3           0.406      0.032     12.687      0.000
    RELIG4$4           0.736      0.034     21.460      0.000
    RELIG4$5           1.344      0.044     30.757      0.000

 Variances
    RELIG              0.871      0.023     37.710      0.000
    AUTH1              0.520      0.037     13.991      0.000

 Residual Variances
    AUTH2              0.077      0.021      3.634      0.000


STANDARDIZED MODEL RESULTS


STDYX Standardization

                                                    Two-Tailed
                    Estimate       S.E.  Est./S.E.    P-Value

 RELIG    BY
    RELIG1             0.933      0.012     75.419      0.000
    RELIG2             0.463      0.019     25.005      0.000
    RELIG3             0.857      0.013     64.527      0.000
    RELIG4             0.847      0.014     59.353      0.000

 AUTH1    BY
    AUTH11             0.721      0.026     27.982      0.000
    AUTH12             0.811      0.021     39.333      0.000
    AUTH13             0.741      0.023     31.770      0.000
    AUTH14             0.482      0.028     17.541      0.000

 AUTH2    BY
    AUTH21             0.748      0.025     29.702      0.000
    AUTH22             0.842      0.021     39.707      0.000
    AUTH23             0.769      0.023     34.038      0.000
    AUTH24             0.501      0.028     17.663      0.000

 AUTH2    ON
    AUTH1              0.925      0.026     34.969      0.000
    RELIG              0.009      0.032      0.280      0.780

 AUTH1    WITH
    RELIG              0.407      0.032     12.729      0.000

 AUTH11   WITH
    AUTH21             0.489      0.057      8.617      0.000

 AUTH12   WITH
    AUTH22             0.355      0.076      4.638      0.000

 AUTH13   WITH
    AUTH23             0.452      0.058      7.819      0.000

 AUTH14   WITH
    AUTH24             0.551      0.038     14.578      0.000

 Intercepts
    AUTH2             -0.177      0.025     -7.013      0.000

 Thresholds
    AUTH11$1          -0.765      0.031    -24.383      0.000
    AUTH12$1          -0.164      0.029     -5.606      0.000
    AUTH13$1          -0.469      0.030    -15.741      0.000
    AUTH14$1           0.387      0.028     13.760      0.000
    AUTH21$1          -0.765      0.031    -24.383      0.000
    AUTH22$1          -0.164      0.029     -5.606      0.000
    AUTH23$1          -0.469      0.030    -15.741      0.000
    AUTH24$1           0.387      0.028     13.760      0.000
    RELIG1$1          -0.406      0.032    -12.694      0.000
    RELIG2$1          -0.813      0.043    -18.802      0.000
    RELIG2$2           0.084      0.038      2.199      0.028
    RELIG3$1          -0.859      0.036    -24.108      0.000
    RELIG3$2          -0.276      0.032     -8.746      0.000
    RELIG3$3           0.153      0.031      4.885      0.000
    RELIG3$4           0.646      0.034     19.250      0.000
    RELIG4$1          -0.129      0.031     -4.158      0.000
    RELIG4$2           0.210      0.031      6.728      0.000
    RELIG4$3           0.406      0.032     12.687      0.000
    RELIG4$4           0.736      0.034     21.460      0.000
    RELIG4$5           1.344      0.044     30.757      0.000

 Variances
    RELIG              1.000      0.000    999.000    999.000
    AUTH1              1.000      0.000    999.000    999.000

 Residual Variances
    AUTH2              0.138      0.037      3.758      0.000


STDY Standardization

                                                    Two-Tailed
                    Estimate       S.E.  Est./S.E.    P-Value

 RELIG    BY
    RELIG1             0.933      0.012     75.419      0.000
    RELIG2             0.463      0.019     25.005      0.000
    RELIG3             0.857      0.013     64.527      0.000
    RELIG4             0.847      0.014     59.353      0.000

 AUTH1    BY
    AUTH11             0.721      0.026     27.982      0.000
    AUTH12             0.811      0.021     39.333      0.000
    AUTH13             0.741      0.023     31.770      0.000
    AUTH14             0.482      0.028     17.541      0.000

 AUTH2    BY
    AUTH21             0.748      0.025     29.702      0.000
    AUTH22             0.842      0.021     39.707      0.000
    AUTH23             0.769      0.023     34.038      0.000
    AUTH24             0.501      0.028     17.663      0.000

 AUTH2    ON
    AUTH1              0.925      0.026     34.969      0.000
    RELIG              0.009      0.032      0.280      0.780

 AUTH1    WITH
    RELIG              0.407      0.032     12.729      0.000

 AUTH11   WITH
    AUTH21             0.489      0.057      8.617      0.000

 AUTH12   WITH
    AUTH22             0.355      0.076      4.638      0.000

 AUTH13   WITH
    AUTH23             0.452      0.058      7.819      0.000

 AUTH14   WITH
    AUTH24             0.551      0.038     14.578      0.000

 Intercepts
    AUTH2             -0.177      0.025     -7.013      0.000

 Thresholds
    AUTH11$1          -0.765      0.031    -24.383      0.000
    AUTH12$1          -0.164      0.029     -5.606      0.000
    AUTH13$1          -0.469      0.030    -15.741      0.000
    AUTH14$1           0.387      0.028     13.760      0.000
    AUTH21$1          -0.765      0.031    -24.383      0.000
    AUTH22$1          -0.164      0.029     -5.606      0.000
    AUTH23$1          -0.469      0.030    -15.741      0.000
    AUTH24$1           0.387      0.028     13.760      0.000
    RELIG1$1          -0.406      0.032    -12.694      0.000
    RELIG2$1          -0.813      0.043    -18.802      0.000
    RELIG2$2           0.084      0.038      2.199      0.028
    RELIG3$1          -0.859      0.036    -24.108      0.000
    RELIG3$2          -0.276      0.032     -8.746      0.000
    RELIG3$3           0.153      0.031      4.885      0.000
    RELIG3$4           0.646      0.034     19.250      0.000
    RELIG4$1          -0.129      0.031     -4.158      0.000
    RELIG4$2           0.210      0.031      6.728      0.000
    RELIG4$3           0.406      0.032     12.687      0.000
    RELIG4$4           0.736      0.034     21.460      0.000
    RELIG4$5           1.344      0.044     30.757      0.000

 Variances
    RELIG              1.000      0.000    999.000    999.000
    AUTH1              1.000      0.000    999.000    999.000

 Residual Variances
    AUTH2              0.138      0.037      3.758      0.000


STD Standardization

                                                    Two-Tailed
                    Estimate       S.E.  Est./S.E.    P-Value

 RELIG    BY
    RELIG1             0.933      0.012     75.419      0.000
    RELIG2             0.463      0.019     25.005      0.000
    RELIG3             0.857      0.013     64.527      0.000
    RELIG4             0.847      0.014     59.353      0.000

 AUTH1    BY
    AUTH11             0.721      0.026     27.982      0.000
    AUTH12             0.811      0.021     39.333      0.000
    AUTH13             0.741      0.023     31.770      0.000
    AUTH14             0.482      0.028     17.541      0.000

 AUTH2    BY
    AUTH21             0.748      0.025     29.702      0.000
    AUTH22             0.842      0.021     39.707      0.000
    AUTH23             0.769      0.023     34.038      0.000
    AUTH24             0.501      0.028     17.663      0.000

 AUTH2    ON
    AUTH1              0.925      0.026     34.969      0.000
    RELIG              0.009      0.032      0.280      0.780

 AUTH1    WITH
    RELIG              0.407      0.032     12.729      0.000

 AUTH11   WITH
    AUTH21             0.225      0.035      6.482      0.000

 AUTH12   WITH
    AUTH22             0.112      0.030      3.731      0.000

 AUTH13   WITH
    AUTH23             0.194      0.032      6.090      0.000

 AUTH14   WITH
    AUTH24             0.418      0.034     12.200      0.000

 Intercepts
    AUTH2             -0.177      0.025     -7.013      0.000

 Thresholds
    AUTH11$1          -0.765      0.031    -24.383      0.000
    AUTH12$1          -0.164      0.029     -5.606      0.000
    AUTH13$1          -0.469      0.030    -15.741      0.000
    AUTH14$1           0.387      0.028     13.760      0.000
    AUTH21$1          -0.765      0.031    -24.383      0.000
    AUTH22$1          -0.164      0.029     -5.606      0.000
    AUTH23$1          -0.469      0.030    -15.741      0.000
    AUTH24$1           0.387      0.028     13.760      0.000
    RELIG1$1          -0.406      0.032    -12.694      0.000
    RELIG2$1          -0.813      0.043    -18.802      0.000
    RELIG2$2           0.084      0.038      2.199      0.028
    RELIG3$1          -0.859      0.036    -24.108      0.000
    RELIG3$2          -0.276      0.032     -8.746      0.000
    RELIG3$3           0.153      0.031      4.885      0.000
    RELIG3$4           0.646      0.034     19.250      0.000
    RELIG4$1          -0.129      0.031     -4.158      0.000
    RELIG4$2           0.210      0.031      6.728      0.000
    RELIG4$3           0.406      0.032     12.687      0.000
    RELIG4$4           0.736      0.034     21.460      0.000
    RELIG4$5           1.344      0.044     30.757      0.000

 Variances
    RELIG              1.000      0.000    999.000    999.000
    AUTH1              1.000      0.000    999.000    999.000

 Residual Variances
    AUTH2              0.138      0.037      3.758      0.000


R-SQUARE

    Observed                                        Two-Tailed   Residual
    Variable        Estimate       S.E.  Est./S.E.    P-Value    Variance

    AUTH11             0.520      0.037     13.991      0.000      0.480
    AUTH12             0.658      0.033     19.667      0.000      0.342
    AUTH13             0.549      0.035     15.885      0.000      0.451
    AUTH14             0.233      0.027      8.771      0.000      0.767
    AUTH21             0.560      0.038     14.851      0.000      0.440
    AUTH22             0.709      0.036     19.853      0.000      0.291
    AUTH23             0.591      0.035     17.019      0.000      0.409
    AUTH24             0.251      0.028      8.831      0.000      0.749
    RELIG1             0.871      0.023     37.710      0.000      0.129
    RELIG2             0.214      0.017     12.502      0.000      0.786
    RELIG3             0.734      0.023     32.264      0.000      0.266
    RELIG4             0.718      0.024     29.677      0.000      0.282

     Latent                                         Two-Tailed
    Variable        Estimate       S.E.  Est./S.E.    P-Value

    AUTH2              0.862      0.037     23.516      0.000


QUALITY OF NUMERICAL RESULTS

     Condition Number for the Information Matrix              0.710E-02
       (ratio of smallest to largest eigenvalue)


     Beginning Time:  14:57:30
        Ending Time:  14:57:30
       Elapsed Time:  00:00:00



MUTHEN & MUTHEN
3463 Stoner Ave.
Los Angeles, CA  90066

Tel: (310) 391-9971
Fax: (310) 391-8971
Web: www.StatModel.com
Support: Support@StatModel.com

Copyright (c) 1998-2013 Muthen & Muthen


. runmplus auth11 auth12 auth13 auth14 auth21 auth22 auth23 auth24 gaymarry gaylaws1 gay
> milt1 gayadopt, categorical(auth11 auth12 auth13 auth14 auth21 auth22 auth23 auth24 ga
> ymarry gaylaws1 gaymilt1 gayadopt) model(Gay by gaymarry gaylaws1 gaymilt1 gayadopt; A
> uth1 by auth11 auth12 auth13 auth14 (a1-a4) ; Auth2 by auth21 auth22 auth23 auth24 (a1
> -a4) ; auth11 auth12 auth13 auth14 pwith auth21 auth22 auth23 auth24; [auth11$1] (t1);
>  [auth21$1] (t1); [auth12$1] (t2); [auth22$1] (t2); [auth13$1] (t3); [auth23$1] (t3); 
> [auth14$1] (t4); [auth24$1] (t4); Auth2 on Auth1 Gay; [Auth2]; ) stand
THE MODEL ESTIMATION TERMINATED NORMALLY
Mplus VERSION 7.11
MUTHEN & MUTHEN
03/19/2021   3:01 PM

INPUT INSTRUCTIONS

  TITLE:
    Variable List -

    auth11 : RECODE of auth_ind (POST: Child trait more important: independence or respe
> ct)
    auth12 : RECODE of auth_obed (POST: Child trait more important: obedience or self-re
> lian
    auth13 : RECODE of auth_cur (POST: Child trait more important: curiosity or good man
> ners
    auth14 : RECODE of auth_consid (POST: Child trait more important: considerate or wel
> l-be
    auth21 : RECODE of C5_H1 (Please tell us which one you think is more important for a
>  chi
    auth22 : RECODE of C5_H2 (Please tell us which one you think is more important for a
>  chi
    auth23 : RECODE of C5_H3 (Please tell us which one you think is more important for a
>  chi
    auth24 : RECODE of C5_H4 (Please tell us which one you think is more important for a
>  chi
    gaymarry : RECODE of gayrt_marry (PRE: R position on gay marriage)
    gaylaws1 : RECODE of gayrt_discrev_x (PRE: SUMMARY REV version- favor laws against g
> ays/
    gaymilt1 : RECODE of gayrt_milrev_x (PRE: SUMMARY REV version- allow gays/lesbians s
> erve
    gayadopt : RECODE of gayrt_adopt (PRE: Should gay and lesbian couples be allowed to 
> adop

  DATA:
    FILE = __000001.dat ;
  VARIABLE:
    NAMES =
      auth11 auth12 auth13 auth14 auth21 auth22 auth23 auth24 gaymarry
  gaylaws1 gaymilt1 gayadopt ;
    MISSING ARE ALL (-9999) ;
    CATEGORICAL =
      auth11
      auth12
      auth13
      auth14
      auth21
      auth22
      auth23
      auth24
      gaymarry
      gaylaws1
      gaymilt1
      gayadopt
      ;
  ANALYSIS:
  OUTPUT:
     STANDARDIZED ;
  MODEL:
  Gay by gaymarry gaylaws1 gaymilt1 gayadopt ;
  Auth1 by auth11 auth12 auth13 auth14 (a1-a4)  ;
  Auth2 by auth21 auth22 auth23 auth24 (a1-a4)  ;
  auth11 auth12 auth13 auth14 pwith auth21 auth22 auth23 auth24 ;
  [auth11$1] (t1) ;
  [auth21$1] (t1) ;
  [auth12$1] (t2) ;
  [auth22$1] (t2) ;
  [auth13$1] (t3) ;
  [auth23$1] (t3) ;
  [auth14$1] (t4) ;
  [auth24$1] (t4) ;
  Auth2 on Auth1 Gay ;
  [Auth2] ;




*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    auth12 : RECODE of auth_obed (POST: Child trait more important: obedience or self-re
> lianc
*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    auth13 : RECODE of auth_cur (POST: Child trait more important: curiosity or good man
> ners)
*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    auth14 : RECODE of auth_consid (POST: Child trait more important: considerate or wel
> l-beh
*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    auth21 : RECODE of C5_H1 (Please tell us which one you think is more important for a
>  chil
*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    auth22 : RECODE of C5_H2 (Please tell us which one you think is more important for a
>  chil
*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    auth23 : RECODE of C5_H3 (Please tell us which one you think is more important for a
>  chil
*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    auth24 : RECODE of C5_H4 (Please tell us which one you think is more important for a
>  chil
*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    gaylaws1 : RECODE of gayrt_discrev_x (PRE: SUMMARY REV version- favor laws against g
> ays/l
*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    gayadopt : RECODE of gayrt_adopt (PRE: Should gay and lesbian couples be allowed to 
> adopt
*** WARNING
  Data set contains cases with missing on all variables.
  These cases were not included in the analysis.
  Number of cases with missing on all variables:  2
  10 WARNING(S) FOUND IN THE INPUT INSTRUCTIONS




Variable List -

auth11 : RECODE of auth_ind (POST: Child trait more important: independence or respect)
auth12 : RECODE of auth_obed (POST: Child trait more important: obedience or self-relian
auth13 : RECODE of auth_cur (POST: Child trait more important: curiosity or good manners
auth14 : RECODE of auth_consid (POST: Child trait more important: considerate or well-be
auth21 : RECODE of C5_H1 (Please tell us which one you think is more important for a chi
auth22 : RECODE of C5_H2 (Please tell us which one you think is more important for a chi
auth23 : RECODE of C5_H3 (Please tell us which one you think is more important for a chi
auth24 : RECODE of C5_H4 (Please tell us which one you think is more important for a chi
gaymarry : RECODE of gayrt_marry (PRE: R position on gay marriage)
gaylaws1 : RECODE of gayrt_discrev_x (PRE: SUMMARY REV version- favor laws against gays/
gaymilt1 : RECODE of gayrt_milrev_x (PRE: SUMMARY REV version- allow gays/lesbians serve
gayadopt : RECODE of gayrt_adopt (PRE: Should gay and lesbian couples be allowed to adop

SUMMARY OF ANALYSIS

Number of groups                                                 1
Number of observations                                        1633

Number of dependent variables                                   12
Number of independent variables                                  0
Number of continuous latent variables                            3

Observed dependent variables

  Binary and ordered categorical (ordinal)
   AUTH11      AUTH12      AUTH13      AUTH14      AUTH21      AUTH22
   AUTH23      AUTH24      GAYMARRY    GAYLAWS1    GAYMILT1    GAYADOPT

Continuous latent variables
   GAY         AUTH1       AUTH2


Estimator                                                    WLSMV
Maximum number of iterations                                  1000
Convergence criterion                                    0.500D-04
Maximum number of steepest descent iterations                   20
Maximum number of iterations for H1                           2000
Convergence criterion for H1                             0.100D-03
Parameterization                                             DELTA

Input data file(s)
  __000001.dat

Input data format  FREE


SUMMARY OF DATA

     Number of missing data patterns            23


COVARIANCE COVERAGE OF DATA

Minimum covariance coverage value   0.100


     PROPORTION OF DATA PRESENT


           Covariance Coverage
              AUTH11        AUTH12        AUTH13        AUTH14        AUTH21
              ________      ________      ________      ________      ________
 AUTH11         0.964
 AUTH12         0.963         0.963
 AUTH13         0.963         0.961         0.963
 AUTH14         0.964         0.963         0.962         0.964
 AUTH21         0.941         0.940         0.939         0.941         0.976
 AUTH22         0.942         0.941         0.940         0.941         0.975
 AUTH23         0.943         0.942         0.941         0.942         0.976
 AUTH24         0.942         0.941         0.940         0.941         0.975
 GAYMARRY       0.961         0.960         0.959         0.960         0.974
 GAYLAWS1       0.456         0.455         0.454         0.456         0.457
 GAYMILT1       0.456         0.456         0.455         0.456         0.458
 GAYADOPT       0.956         0.955         0.955         0.955         0.969


           Covariance Coverage
              AUTH22        AUTH23        AUTH24        GAYMARRY      GAYLAWS1
              ________      ________      ________      ________      ________
 AUTH22         0.977
 AUTH23         0.977         0.978
 AUTH24         0.976         0.977         0.977
 GAYMARRY       0.974         0.976         0.974         0.996
 GAYLAWS1       0.458         0.459         0.459         0.470         0.470
 GAYMILT1       0.459         0.459         0.459         0.470         0.469
 GAYADOPT       0.969         0.971         0.969         0.990         0.467


           Covariance Coverage
              GAYMILT1      GAYADOPT
              ________      ________
 GAYMILT1       0.470
 GAYADOPT       0.468         0.991


UNIVARIATE PROPORTIONS AND COUNTS FOR CATEGORICAL VARIABLES

    AUTH11
      Category 1    0.215      338.000
      Category 2    0.785     1237.000
    AUTH12
      Category 1    0.442      696.000
      Category 2    0.558      877.000
    AUTH13
      Category 1    0.315      495.000
      Category 2    0.685     1077.000
    AUTH14
      Category 1    0.657     1034.000
      Category 2    0.343      540.000
    AUTH21
      Category 1    0.271      432.000
      Category 2    0.729     1162.000
    AUTH22
      Category 1    0.487      776.000
      Category 2    0.513      819.000
    AUTH23
      Category 1    0.374      598.000
      Category 2    0.626      999.000
    AUTH24
      Category 1    0.676     1079.000
      Category 2    0.324      516.000
    GAYMARRY
      Category 1    0.385      626.000
      Category 2    0.358      583.000
      Category 3    0.257      418.000
    GAYLAWS1
      Category 1    0.442      339.000
      Category 2    0.279      214.000
      Category 3    0.113       87.000
      Category 4    0.166      127.000
    GAYMILT1
      Category 1    0.578      444.000
      Category 2    0.273      210.000
      Category 3    0.039       30.000
      Category 4    0.109       84.000
    GAYADOPT
      Category 1    0.624     1011.000
      Category 2    0.376      608.000



THE MODEL ESTIMATION TERMINATED NORMALLY



MODEL FIT INFORMATION

Number of Free Parameters                       30

Chi-Square Test of Model Fit

          Value                            121.295*
          Degrees of Freedom                    53
          P-Value                           0.0000

*   The chi-square value for MLM, MLMV, MLR, ULSMV, WLSM and WLSMV cannot be used
    for chi-square difference testing in the regular way.  MLM, MLR and WLSM
    chi-square difference testing is described on the Mplus website.  MLMV, WLSMV,
    and ULSMV difference testing is done using the DIFFTEST option.

RMSEA (Root Mean Square Error Of Approximation)

          Estimate                           0.028
          90 Percent C.I.                    0.022  0.035
          Probability RMSEA <= .05           1.000

CFI/TLI

          CFI                                0.993
          TLI                                0.991

Chi-Square Test of Model Fit for the Baseline Model

          Value                           9980.059
          Degrees of Freedom                    66
          P-Value                           0.0000

WRMR (Weighted Root Mean Square Residual)

          Value                              1.074



MODEL RESULTS

                                                    Two-Tailed
                    Estimate       S.E.  Est./S.E.    P-Value

 GAY      BY
    GAYMARRY           1.000      0.000    999.000    999.000
    GAYLAWS1           0.864      0.032     26.747      0.000
    GAYMILT1           0.785      0.034     23.316      0.000
    GAYADOPT           0.992      0.030     32.723      0.000

 AUTH1    BY
    AUTH11             1.000      0.000    999.000    999.000
    AUTH12             1.105      0.046     23.797      0.000
    AUTH13             1.036      0.044     23.519      0.000
    AUTH14             0.699      0.042     16.588      0.000

 AUTH2    BY
    AUTH21             1.000      0.000    999.000    999.000
    AUTH22             1.105      0.046     23.797      0.000
    AUTH23             1.036      0.044     23.519      0.000
    AUTH24             0.699      0.042     16.588      0.000

 AUTH2    ON
    AUTH1              1.003      0.043     23.413      0.000
    GAY               -0.058      0.035     -1.677      0.094

 AUTH1    WITH
    GAY                0.349      0.025     14.037      0.000

 AUTH11   WITH
    AUTH21             0.226      0.034      6.597      0.000

 AUTH12   WITH
    AUTH22             0.137      0.030      4.526      0.000

 AUTH13   WITH
    AUTH23             0.186      0.031      5.942      0.000

 AUTH14   WITH
    AUTH24             0.398      0.034     11.670      0.000

 Intercepts
    AUTH2             -0.132      0.019     -7.052      0.000

 Thresholds
    AUTH11$1          -0.765      0.031    -24.370      0.000
    AUTH12$1          -0.163      0.029     -5.565      0.000
    AUTH13$1          -0.469      0.030    -15.745      0.000
    AUTH14$1           0.385      0.028     13.661      0.000
    AUTH21$1          -0.765      0.031    -24.370      0.000
    AUTH22$1          -0.163      0.029     -5.565      0.000
    AUTH23$1          -0.469      0.030    -15.745      0.000
    AUTH24$1           0.385      0.028     13.661      0.000
    GAYMARRY$1        -0.293      0.032     -9.284      0.000
    GAYMARRY$2         0.653      0.034     19.430      0.000
    GAYLAWS1$1        -0.146      0.045     -3.213      0.001
    GAYLAWS1$2         0.586      0.048     12.155      0.000
    GAYLAWS1$3         0.972      0.054     18.014      0.000
    GAYMILT1$1         0.197      0.046      4.327      0.000
    GAYMILT1$2         1.043      0.055     18.826      0.000
    GAYMILT1$3         1.230      0.060     20.450      0.000
    GAYADOPT$1         0.317      0.032      9.999      0.000

 Variances
    GAY                0.835      0.028     29.306      0.000
    AUTH1              0.518      0.037     14.014      0.000

 Residual Variances
    AUTH2              0.076      0.022      3.489      0.000


STANDARDIZED MODEL RESULTS


STDYX Standardization

                                                    Two-Tailed
                    Estimate       S.E.  Est./S.E.    P-Value

 GAY      BY
    GAYMARRY           0.914      0.016     58.612      0.000
    GAYLAWS1           0.789      0.025     32.038      0.000
    GAYMILT1           0.717      0.028     25.768      0.000
    GAYADOPT           0.906      0.017     54.450      0.000

 AUTH1    BY
    AUTH11             0.720      0.026     28.028      0.000
    AUTH12             0.795      0.021     37.896      0.000
    AUTH13             0.746      0.023     32.633      0.000
    AUTH14             0.504      0.027     18.783      0.000

 AUTH2    BY
    AUTH21             0.748      0.025     29.851      0.000
    AUTH22             0.826      0.021     38.538      0.000
    AUTH23             0.775      0.022     34.526      0.000
    AUTH24             0.523      0.027     19.030      0.000

 AUTH2    ON
    AUTH1              0.965      0.034     28.434      0.000
    GAY               -0.071      0.042     -1.683      0.092

 AUTH1    WITH
    GAY                0.531      0.031     17.046      0.000

 AUTH11   WITH
    AUTH21             0.491      0.056      8.740      0.000

 AUTH12   WITH
    AUTH22             0.400      0.069      5.765      0.000

 AUTH13   WITH
    AUTH23             0.443      0.059      7.562      0.000

 AUTH14   WITH
    AUTH24             0.541      0.039     13.923      0.000

 Intercepts
    AUTH2             -0.177      0.025     -6.998      0.000

 Thresholds
    AUTH11$1          -0.765      0.031    -24.370      0.000
    AUTH12$1          -0.163      0.029     -5.565      0.000
    AUTH13$1          -0.469      0.030    -15.745      0.000
    AUTH14$1           0.385      0.028     13.661      0.000
    AUTH21$1          -0.765      0.031    -24.370      0.000
    AUTH22$1          -0.163      0.029     -5.565      0.000
    AUTH23$1          -0.469      0.030    -15.745      0.000
    AUTH24$1           0.385      0.028     13.661      0.000
    GAYMARRY$1        -0.293      0.032     -9.284      0.000
    GAYMARRY$2         0.653      0.034     19.430      0.000
    GAYLAWS1$1        -0.146      0.045     -3.213      0.001
    GAYLAWS1$2         0.586      0.048     12.155      0.000
    GAYLAWS1$3         0.972      0.054     18.014      0.000
    GAYMILT1$1         0.197      0.046      4.327      0.000
    GAYMILT1$2         1.043      0.055     18.826      0.000
    GAYMILT1$3         1.230      0.060     20.450      0.000
    GAYADOPT$1         0.317      0.032      9.999      0.000

 Variances
    GAY                1.000      0.000    999.000    999.000
    AUTH1              1.000      0.000    999.000    999.000

 Residual Variances
    AUTH2              0.136      0.038      3.587      0.000


STDY Standardization

                                                    Two-Tailed
                    Estimate       S.E.  Est./S.E.    P-Value

 GAY      BY
    GAYMARRY           0.914      0.016     58.612      0.000
    GAYLAWS1           0.789      0.025     32.038      0.000
    GAYMILT1           0.717      0.028     25.768      0.000
    GAYADOPT           0.906      0.017     54.450      0.000

 AUTH1    BY
    AUTH11             0.720      0.026     28.028      0.000
    AUTH12             0.795      0.021     37.896      0.000
    AUTH13             0.746      0.023     32.633      0.000
    AUTH14             0.504      0.027     18.783      0.000

 AUTH2    BY
    AUTH21             0.748      0.025     29.851      0.000
    AUTH22             0.826      0.021     38.538      0.000
    AUTH23             0.775      0.022     34.526      0.000
    AUTH24             0.523      0.027     19.030      0.000

 AUTH2    ON
    AUTH1              0.965      0.034     28.434      0.000
    GAY               -0.071      0.042     -1.683      0.092

 AUTH1    WITH
    GAY                0.531      0.031     17.046      0.000

 AUTH11   WITH
    AUTH21             0.491      0.056      8.740      0.000

 AUTH12   WITH
    AUTH22             0.400      0.069      5.765      0.000

 AUTH13   WITH
    AUTH23             0.443      0.059      7.562      0.000

 AUTH14   WITH
    AUTH24             0.541      0.039     13.923      0.000

 Intercepts
    AUTH2             -0.177      0.025     -6.998      0.000

 Thresholds
    AUTH11$1          -0.765      0.031    -24.370      0.000
    AUTH12$1          -0.163      0.029     -5.565      0.000
    AUTH13$1          -0.469      0.030    -15.745      0.000
    AUTH14$1           0.385      0.028     13.661      0.000
    AUTH21$1          -0.765      0.031    -24.370      0.000
    AUTH22$1          -0.163      0.029     -5.565      0.000
    AUTH23$1          -0.469      0.030    -15.745      0.000
    AUTH24$1           0.385      0.028     13.661      0.000
    GAYMARRY$1        -0.293      0.032     -9.284      0.000
    GAYMARRY$2         0.653      0.034     19.430      0.000
    GAYLAWS1$1        -0.146      0.045     -3.213      0.001
    GAYLAWS1$2         0.586      0.048     12.155      0.000
    GAYLAWS1$3         0.972      0.054     18.014      0.000
    GAYMILT1$1         0.197      0.046      4.327      0.000
    GAYMILT1$2         1.043      0.055     18.826      0.000
    GAYMILT1$3         1.230      0.060     20.450      0.000
    GAYADOPT$1         0.317      0.032      9.999      0.000

 Variances
    GAY                1.000      0.000    999.000    999.000
    AUTH1              1.000      0.000    999.000    999.000

 Residual Variances
    AUTH2              0.136      0.038      3.587      0.000


STD Standardization

                                                    Two-Tailed
                    Estimate       S.E.  Est./S.E.    P-Value

 GAY      BY
    GAYMARRY           0.914      0.016     58.612      0.000
    GAYLAWS1           0.789      0.025     32.038      0.000
    GAYMILT1           0.717      0.028     25.768      0.000
    GAYADOPT           0.906      0.017     54.450      0.000

 AUTH1    BY
    AUTH11             0.720      0.026     28.028      0.000
    AUTH12             0.795      0.021     37.896      0.000
    AUTH13             0.746      0.023     32.633      0.000
    AUTH14             0.504      0.027     18.783      0.000

 AUTH2    BY
    AUTH21             0.748      0.025     29.851      0.000
    AUTH22             0.826      0.021     38.538      0.000
    AUTH23             0.775      0.022     34.526      0.000
    AUTH24             0.523      0.027     19.030      0.000

 AUTH2    ON
    AUTH1              0.965      0.034     28.434      0.000
    GAY               -0.071      0.042     -1.683      0.092

 AUTH1    WITH
    GAY                0.531      0.031     17.046      0.000

 AUTH11   WITH
    AUTH21             0.226      0.034      6.597      0.000

 AUTH12   WITH
    AUTH22             0.137      0.030      4.526      0.000

 AUTH13   WITH
    AUTH23             0.186      0.031      5.942      0.000

 AUTH14   WITH
    AUTH24             0.398      0.034     11.670      0.000

 Intercepts
    AUTH2             -0.177      0.025     -6.998      0.000

 Thresholds
    AUTH11$1          -0.765      0.031    -24.370      0.000
    AUTH12$1          -0.163      0.029     -5.565      0.000
    AUTH13$1          -0.469      0.030    -15.745      0.000
    AUTH14$1           0.385      0.028     13.661      0.000
    AUTH21$1          -0.765      0.031    -24.370      0.000
    AUTH22$1          -0.163      0.029     -5.565      0.000
    AUTH23$1          -0.469      0.030    -15.745      0.000
    AUTH24$1           0.385      0.028     13.661      0.000
    GAYMARRY$1        -0.293      0.032     -9.284      0.000
    GAYMARRY$2         0.653      0.034     19.430      0.000
    GAYLAWS1$1        -0.146      0.045     -3.213      0.001
    GAYLAWS1$2         0.586      0.048     12.155      0.000
    GAYLAWS1$3         0.972      0.054     18.014      0.000
    GAYMILT1$1         0.197      0.046      4.327      0.000
    GAYMILT1$2         1.043      0.055     18.826      0.000
    GAYMILT1$3         1.230      0.060     20.450      0.000
    GAYADOPT$1         0.317      0.032      9.999      0.000

 Variances
    GAY                1.000      0.000    999.000    999.000
    AUTH1              1.000      0.000    999.000    999.000

 Residual Variances
    AUTH2              0.136      0.038      3.587      0.000


R-SQUARE

    Observed                                        Two-Tailed   Residual
    Variable        Estimate       S.E.  Est./S.E.    P-Value    Variance

    AUTH11             0.518      0.037     14.014      0.000      0.482
    AUTH12             0.632      0.033     18.948      0.000      0.368
    AUTH13             0.557      0.034     16.316      0.000      0.443
    AUTH14             0.254      0.027      9.392      0.000      0.746
    AUTH21             0.559      0.037     14.926      0.000      0.441
    AUTH22             0.682      0.035     19.269      0.000      0.318
    AUTH23             0.600      0.035     17.263      0.000      0.400
    AUTH24             0.273      0.029      9.515      0.000      0.727
    GAYMARRY           0.835      0.028     29.306      0.000      0.165
    GAYLAWS1           0.623      0.039     16.019      0.000      0.377
    GAYMILT1           0.515      0.040     12.884      0.000      0.485
    GAYADOPT           0.821      0.030     27.225      0.000      0.179

     Latent                                         Two-Tailed
    Variable        Estimate       S.E.  Est./S.E.    P-Value

    AUTH2              0.864      0.038     22.803      0.000


QUALITY OF NUMERICAL RESULTS

     Condition Number for the Information Matrix              0.479E-02
       (ratio of smallest to largest eigenvalue)


     Beginning Time:  15:01:06
        Ending Time:  15:01:06
       Elapsed Time:  00:00:00



MUTHEN & MUTHEN
3463 Stoner Ave.
Los Angeles, CA  90066

Tel: (310) 391-9971
Fax: (310) 391-8971
Web: www.StatModel.com
Support: Support@StatModel.com

Copyright (c) 1998-2013 Muthen & Muthen

. runmplus auth11 auth12 auth13 auth14 auth21 auth22 auth23 auth24 ft_tea teaparty, cate
> gorical(auth11 auth12 auth13 auth14 auth21 auth22 auth23 auth24 teaparty) model(Tparty
>  by teaparty ft_tea; Auth1 by auth11 auth12 auth13 auth14 (a1-a4) ; Auth2 by auth21 au
> th22 auth23 auth24 (a1-a4) ; auth11 auth12 auth13 auth14 pwith auth21 auth22 auth23 au
> th24; [auth11$1] (t1); [auth21$1] (t1); [auth12$1] (t2); [auth22$1] (t2); [auth13$1] (
> t3); [auth23$1] (t3); [auth14$1] (t4); [auth24$1] (t4); Auth2 on Auth1 Tparty; [Auth2]
> ; ) stand
THE MODEL ESTIMATION TERMINATED NORMALLY
Mplus VERSION 7.11
MUTHEN & MUTHEN
03/19/2021   3:02 PM

INPUT INSTRUCTIONS

  TITLE:
    Variable List -

    auth11 : RECODE of auth_ind (POST: Child trait more important: independence or respe
> ct)
    auth12 : RECODE of auth_obed (POST: Child trait more important: obedience or self-re
> lian
    auth13 : RECODE of auth_cur (POST: Child trait more important: curiosity or good man
> ners
    auth14 : RECODE of auth_consid (POST: Child trait more important: considerate or wel
> l-be
    auth21 : RECODE of C5_H1 (Please tell us which one you think is more important for a
>  chi
    auth22 : RECODE of C5_H2 (Please tell us which one you think is more important for a
>  chi
    auth23 : RECODE of C5_H3 (Please tell us which one you think is more important for a
>  chi
    auth24 : RECODE of C5_H4 (Please tell us which one you think is more important for a
>  chi
    ft_tea : RECODE of ftgr_tea (POST: Feeling thermometer: TEA PARTY)
    teaparty : RECODE of tea_supp_x (PRE: SUMMARY- Tea Party support)

  DATA:
    FILE = __000001.dat ;
  VARIABLE:
    NAMES =
      auth11 auth12 auth13 auth14 auth21 auth22 auth23 auth24 ft_tea
  teaparty ;
    MISSING ARE ALL (-9999) ;
    CATEGORICAL =
      auth11
      auth12
      auth13
      auth14
      auth21
      auth22
      auth23
      auth24
      teaparty
      ;
  ANALYSIS:
  OUTPUT:
     STANDARDIZED ;
  MODEL:
  Tparty by teaparty ft_tea ;
  Auth1 by auth11 auth12 auth13 auth14 (a1-a4)  ;
  Auth2 by auth21 auth22 auth23 auth24 (a1-a4)  ;
  auth11 auth12 auth13 auth14 pwith auth21 auth22 auth23 auth24 ;
  [auth11$1] (t1) ;
  [auth21$1] (t1) ;
  [auth12$1] (t2) ;
  [auth22$1] (t2) ;
  [auth13$1] (t3) ;
  [auth23$1] (t3) ;
  [auth14$1] (t4) ;
  [auth24$1] (t4) ;
  Auth2 on Auth1 Tparty ;
  [Auth2] ;




*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    auth12 : RECODE of auth_obed (POST: Child trait more important: obedience or self-re
> lianc
*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    auth13 : RECODE of auth_cur (POST: Child trait more important: curiosity or good man
> ners)
*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    auth14 : RECODE of auth_consid (POST: Child trait more important: considerate or wel
> l-beh
*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    auth21 : RECODE of C5_H1 (Please tell us which one you think is more important for a
>  chil
*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    auth22 : RECODE of C5_H2 (Please tell us which one you think is more important for a
>  chil
*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    auth23 : RECODE of C5_H3 (Please tell us which one you think is more important for a
>  chil
*** WARNING
  Input line exceeded 90 characters. Some input may be truncated.
    auth24 : RECODE of C5_H4 (Please tell us which one you think is more important for a
>  chil
*** WARNING
  Data set contains cases with missing on all variables.
  These cases were not included in the analysis.
  Number of cases with missing on all variables:  2
   8 WARNING(S) FOUND IN THE INPUT INSTRUCTIONS




Variable List -

auth11 : RECODE of auth_ind (POST: Child trait more important: independence or respect)
auth12 : RECODE of auth_obed (POST: Child trait more important: obedience or self-relian
auth13 : RECODE of auth_cur (POST: Child trait more important: curiosity or good manners
auth14 : RECODE of auth_consid (POST: Child trait more important: considerate or well-be
auth21 : RECODE of C5_H1 (Please tell us which one you think is more important for a chi
auth22 : RECODE of C5_H2 (Please tell us which one you think is more important for a chi
auth23 : RECODE of C5_H3 (Please tell us which one you think is more important for a chi
auth24 : RECODE of C5_H4 (Please tell us which one you think is more important for a chi
ft_tea : RECODE of ftgr_tea (POST: Feeling thermometer: TEA PARTY)
teaparty : RECODE of tea_supp_x (PRE: SUMMARY- Tea Party support)

SUMMARY OF ANALYSIS

Number of groups                                                 1
Number of observations                                        1633

Number of dependent variables                                   10
Number of independent variables                                  0
Number of continuous latent variables                            3

Observed dependent variables

  Continuous
   FT_TEA

  Binary and ordered categorical (ordinal)
   AUTH11      AUTH12      AUTH13      AUTH14      AUTH21      AUTH22
   AUTH23      AUTH24      TEAPARTY

Continuous latent variables
   TPARTY      AUTH1       AUTH2


Estimator                                                    WLSMV
Maximum number of iterations                                  1000
Convergence criterion                                    0.500D-04
Maximum number of steepest descent iterations                   20
Maximum number of iterations for H1                           2000
Convergence criterion for H1                             0.100D-03
Parameterization                                             DELTA

Input data file(s)
  __000001.dat

Input data format  FREE


SUMMARY OF DATA

     Number of missing data patterns            18


COVARIANCE COVERAGE OF DATA

Minimum covariance coverage value   0.100


     PROPORTION OF DATA PRESENT


           Covariance Coverage
              AUTH11        AUTH12        AUTH13        AUTH14        AUTH21
              ________      ________      ________      ________      ________
 AUTH11         0.964
 AUTH12         0.963         0.963
 AUTH13         0.963         0.961         0.963
 AUTH14         0.964         0.963         0.962         0.964
 AUTH21         0.941         0.940         0.939         0.941         0.976
 AUTH22         0.942         0.941         0.940         0.941         0.975
 AUTH23         0.943         0.942         0.941         0.942         0.976
 AUTH24         0.942         0.941         0.940         0.941         0.975
 FT_TEA         0.953         0.952         0.951         0.952         0.931
 TEAPARTY       0.962         0.961         0.960         0.961         0.974


           Covariance Coverage
              AUTH22        AUTH23        AUTH24        FT_TEA        TEAPARTY
              ________      ________      ________      ________      ________
 AUTH22         0.977
 AUTH23         0.977         0.978
 AUTH24         0.976         0.977         0.977
 FT_TEA         0.931         0.933         0.931         0.953
 TEAPARTY       0.974         0.976         0.974         0.951         0.997


UNIVARIATE PROPORTIONS AND COUNTS FOR CATEGORICAL VARIABLES

    AUTH11
      Category 1    0.215      338.000
      Category 2    0.785     1237.000
    AUTH12
      Category 1    0.442      696.000
      Category 2    0.558      877.000
    AUTH13
      Category 1    0.315      495.000
      Category 2    0.685     1077.000
    AUTH14
      Category 1    0.657     1034.000
      Category 2    0.343      540.000
    AUTH21
      Category 1    0.271      432.000
      Category 2    0.729     1162.000
    AUTH22
      Category 1    0.487      776.000
      Category 2    0.513      819.000
    AUTH23
      Category 1    0.374      598.000
      Category 2    0.626      999.000
    AUTH24
      Category 1    0.676     1079.000
      Category 2    0.324      516.000
    TEAPARTY
      Category 1    0.316      515.000
      Category 2    0.040       65.000
      Category 3    0.050       81.000
      Category 4    0.326      530.000
      Category 5    0.090      146.000
      Category 6    0.068      110.000
      Category 7    0.111      181.000



THE MODEL ESTIMATION TERMINATED NORMALLY



MODEL FIT INFORMATION

Number of Free Parameters                       27

Chi-Square Test of Model Fit

          Value                            101.655*
          Degrees of Freedom                    34
          P-Value                           0.0000

*   The chi-square value for MLM, MLMV, MLR, ULSMV, WLSM and WLSMV cannot be used
    for chi-square difference testing in the regular way.  MLM, MLR and WLSM
    chi-square difference testing is described on the Mplus website.  MLMV, WLSMV,
    and ULSMV difference testing is done using the DIFFTEST option.

RMSEA (Root Mean Square Error Of Approximation)

          Estimate                           0.035
          90 Percent C.I.                    0.027  0.043
          Probability RMSEA <= .05           0.999

CFI/TLI

          CFI                                0.989
          TLI                                0.985

Chi-Square Test of Model Fit for the Baseline Model

          Value                           6113.026
          Degrees of Freedom                    45
          P-Value                           0.0000

WRMR (Weighted Root Mean Square Residual)

          Value                              1.100



MODEL RESULTS

                                                    Two-Tailed
                    Estimate       S.E.  Est./S.E.    P-Value

 TPARTY   BY
    TEAPARTY           1.000      0.000    999.000    999.000
    FT_TEA             2.722      0.189     14.403      0.000

 AUTH1    BY
    AUTH11             1.000      0.000    999.000    999.000
    AUTH12             1.080      0.046     23.705      0.000
    AUTH13             1.065      0.045     23.919      0.000
    AUTH14             0.707      0.042     16.679      0.000

 AUTH2    BY
    AUTH21             1.000      0.000    999.000    999.000
    AUTH22             1.080      0.046     23.705      0.000
    AUTH23             1.065      0.045     23.919      0.000
    AUTH24             0.707      0.042     16.679      0.000

 AUTH2    ON
    AUTH1              0.986      0.034     28.892      0.000
    TPARTY            -0.051      0.024     -2.115      0.034

 AUTH1    WITH
    TPARTY             0.233      0.024      9.677      0.000

 AUTH11   WITH
    AUTH21             0.228      0.034      6.634      0.000

 AUTH12   WITH
    AUTH22             0.166      0.030      5.533      0.000

 AUTH13   WITH
    AUTH23             0.159      0.031      5.054      0.000

 AUTH14   WITH
    AUTH24             0.394      0.035     11.422      0.000

 Intercepts
    FT_TEA             3.972      0.073     54.295      0.000
    AUTH2             -0.133      0.019     -7.038      0.000

 Thresholds
    AUTH11$1          -0.765      0.031    -24.364      0.000
    AUTH12$1          -0.161      0.029     -5.525      0.000
    AUTH13$1          -0.471      0.030    -15.749      0.000
    AUTH14$1           0.384      0.028     13.644      0.000
    AUTH21$1          -0.765      0.031    -24.364      0.000
    AUTH22$1          -0.161      0.029     -5.525      0.000
    AUTH23$1          -0.471      0.030    -15.749      0.000
    AUTH24$1           0.384      0.028     13.644      0.000
    TEAPARTY$1        -0.478      0.032    -14.758      0.000
    TEAPARTY$2        -0.368      0.032    -11.572      0.000
    TEAPARTY$3        -0.238      0.031     -7.577      0.000
    TEAPARTY$4         0.618      0.033     18.538      0.000
    TEAPARTY$5         0.920      0.036     25.315      0.000
    TEAPARTY$6         1.220      0.041     29.677      0.000

 Variances
    TPARTY             0.857      0.052     16.324      0.000
    AUTH1              0.516      0.037     14.005      0.000

 Residual Variances
    FT_TEA             1.910      0.385      4.958      0.000
    AUTH2              0.076      0.021      3.564      0.000


STANDARDIZED MODEL RESULTS


STDYX Standardization

                                                    Two-Tailed
                    Estimate       S.E.  Est./S.E.    P-Value

 TPARTY   BY
    TEAPARTY           0.926      0.028     32.647      0.000
    FT_TEA             0.877      0.028     31.609      0.000

 AUTH1    BY
    AUTH11             0.719      0.026     28.010      0.000
    AUTH12             0.776      0.021     37.261      0.000
    AUTH13             0.766      0.022     34.066      0.000
    AUTH14             0.508      0.027     18.869      0.000

 AUTH2    BY
    AUTH21             0.746      0.025     29.703      0.000
    AUTH22             0.806      0.021     37.982      0.000
    AUTH23             0.795      0.022     36.423      0.000
    AUTH24             0.527      0.028     19.079      0.000

 AUTH2    ON
    AUTH1              0.949      0.024     39.519      0.000
    TPARTY            -0.063      0.030     -2.132      0.033

 AUTH1    WITH
    TPARTY             0.350      0.031     11.121      0.000

 AUTH11   WITH
    AUTH21             0.493      0.056      8.800      0.000

 AUTH12   WITH
    AUTH22             0.445      0.063      7.121      0.000

 AUTH13   WITH
    AUTH23             0.406      0.064      6.323      0.000

 AUTH14   WITH
    AUTH24             0.538      0.039     13.717      0.000

 Intercepts
    FT_TEA             1.382      0.044     31.760      0.000
    AUTH2             -0.178      0.025     -7.006      0.000

 Thresholds
    AUTH11$1          -0.765      0.031    -24.364      0.000
    AUTH12$1          -0.161      0.029     -5.525      0.000
    AUTH13$1          -0.471      0.030    -15.749      0.000
    AUTH14$1           0.384      0.028     13.644      0.000
    AUTH21$1          -0.765      0.031    -24.364      0.000
    AUTH22$1          -0.161      0.029     -5.525      0.000
    AUTH23$1          -0.471      0.030    -15.749      0.000
    AUTH24$1           0.384      0.028     13.644      0.000
    TEAPARTY$1        -0.478      0.032    -14.758      0.000
    TEAPARTY$2        -0.368      0.032    -11.572      0.000
    TEAPARTY$3        -0.238      0.031     -7.577      0.000
    TEAPARTY$4         0.618      0.033     18.538      0.000
    TEAPARTY$5         0.920      0.036     25.315      0.000
    TEAPARTY$6         1.220      0.041     29.677      0.000

 Variances
    TPARTY             1.000      0.000    999.000    999.000
    AUTH1              1.000      0.000    999.000    999.000

 Residual Variances
    FT_TEA             0.231      0.049      4.754      0.000
    AUTH2              0.137      0.037      3.675      0.000


STDY Standardization

                                                    Two-Tailed
                    Estimate       S.E.  Est./S.E.    P-Value

 TPARTY   BY
    TEAPARTY           0.926      0.028     32.647      0.000
    FT_TEA             0.877      0.028     31.609      0.000

 AUTH1    BY
    AUTH11             0.719      0.026     28.010      0.000
    AUTH12             0.776      0.021     37.261      0.000
    AUTH13             0.766      0.022     34.066      0.000
    AUTH14             0.508      0.027     18.869      0.000

 AUTH2    BY
    AUTH21             0.746      0.025     29.703      0.000
    AUTH22             0.806      0.021     37.982      0.000
    AUTH23             0.795      0.022     36.423      0.000
    AUTH24             0.527      0.028     19.079      0.000

 AUTH2    ON
    AUTH1              0.949      0.024     39.519      0.000
    TPARTY            -0.063      0.030     -2.132      0.033

 AUTH1    WITH
    TPARTY             0.350      0.031     11.121      0.000

 AUTH11   WITH
    AUTH21             0.493      0.056      8.800      0.000

 AUTH12   WITH
    AUTH22             0.445      0.063      7.121      0.000

 AUTH13   WITH
    AUTH23             0.406      0.064      6.323      0.000

 AUTH14   WITH
    AUTH24             0.538      0.039     13.717      0.000

 Intercepts
    FT_TEA             1.382      0.044     31.760      0.000
    AUTH2             -0.178      0.025     -7.006      0.000

 Thresholds
    AUTH11$1          -0.765      0.031    -24.364      0.000
    AUTH12$1          -0.161      0.029     -5.525      0.000
    AUTH13$1          -0.471      0.030    -15.749      0.000
    AUTH14$1           0.384      0.028     13.644      0.000
    AUTH21$1          -0.765      0.031    -24.364      0.000
    AUTH22$1          -0.161      0.029     -5.525      0.000
    AUTH23$1          -0.471      0.030    -15.749      0.000
    AUTH24$1           0.384      0.028     13.644      0.000
    TEAPARTY$1        -0.478      0.032    -14.758      0.000
    TEAPARTY$2        -0.368      0.032    -11.572      0.000
    TEAPARTY$3        -0.238      0.031     -7.577      0.000
    TEAPARTY$4         0.618      0.033     18.538      0.000
    TEAPARTY$5         0.920      0.036     25.315      0.000
    TEAPARTY$6         1.220      0.041     29.677      0.000

 Variances
    TPARTY             1.000      0.000    999.000    999.000
    AUTH1              1.000      0.000    999.000    999.000

 Residual Variances
    FT_TEA             0.231      0.049      4.754      0.000
    AUTH2              0.137      0.037      3.675      0.000


STD Standardization

                                                    Two-Tailed
                    Estimate       S.E.  Est./S.E.    P-Value

 TPARTY   BY
    TEAPARTY           0.926      0.028     32.647      0.000
    FT_TEA             2.520      0.113     22.290      0.000

 AUTH1    BY
    AUTH11             0.719      0.026     28.010      0.000
    AUTH12             0.776      0.021     37.261      0.000
    AUTH13             0.766      0.022     34.066      0.000
    AUTH14             0.508      0.027     18.869      0.000

 AUTH2    BY
    AUTH21             0.746      0.025     29.703      0.000
    AUTH22             0.806      0.021     37.982      0.000
    AUTH23             0.795      0.022     36.423      0.000
    AUTH24             0.527      0.028     19.079      0.000

 AUTH2    ON
    AUTH1              0.949      0.024     39.519      0.000
    TPARTY            -0.063      0.030     -2.132      0.033

 AUTH1    WITH
    TPARTY             0.350      0.031     11.121      0.000

 AUTH11   WITH
    AUTH21             0.228      0.034      6.634      0.000

 AUTH12   WITH
    AUTH22             0.166      0.030      5.533      0.000

 AUTH13   WITH
    AUTH23             0.159      0.031      5.054      0.000

 AUTH14   WITH
    AUTH24             0.394      0.035     11.422      0.000

 Intercepts
    FT_TEA             3.972      0.073     54.295      0.000
    AUTH2             -0.178      0.025     -7.006      0.000

 Thresholds
    AUTH11$1          -0.765      0.031    -24.364      0.000
    AUTH12$1          -0.161      0.029     -5.525      0.000
    AUTH13$1          -0.471      0.030    -15.749      0.000
    AUTH14$1           0.384      0.028     13.644      0.000
    AUTH21$1          -0.765      0.031    -24.364      0.000
    AUTH22$1          -0.161      0.029     -5.525      0.000
    AUTH23$1          -0.471      0.030    -15.749      0.000
    AUTH24$1           0.384      0.028     13.644      0.000
    TEAPARTY$1        -0.478      0.032    -14.758      0.000
    TEAPARTY$2        -0.368      0.032    -11.572      0.000
    TEAPARTY$3        -0.238      0.031     -7.577      0.000
    TEAPARTY$4         0.618      0.033     18.538      0.000
    TEAPARTY$5         0.920      0.036     25.315      0.000
    TEAPARTY$6         1.220      0.041     29.677      0.000

 Variances
    TPARTY             1.000      0.000    999.000    999.000
    AUTH1              1.000      0.000    999.000    999.000

 Residual Variances
    FT_TEA             1.910      0.385      4.958      0.000
    AUTH2              0.137      0.037      3.675      0.000


R-SQUARE

    Observed                                        Two-Tailed   Residual
    Variable        Estimate       S.E.  Est./S.E.    P-Value    Variance

    AUTH11             0.516      0.037     14.005      0.000      0.484
    AUTH12             0.602      0.032     18.630      0.000      0.398
    AUTH13             0.586      0.034     17.033      0.000      0.414
    AUTH14             0.258      0.027      9.434      0.000      0.742
    AUTH21             0.557      0.037     14.852      0.000      0.443
    AUTH22             0.649      0.034     18.991      0.000      0.351
    AUTH23             0.632      0.035     18.211      0.000      0.368
    AUTH24             0.278      0.029      9.540      0.000      0.722
    FT_TEA             0.769      0.049     15.804      0.000
    TEAPARTY           0.857      0.052     16.324      0.000      0.143

     Latent                                         Two-Tailed
    Variable        Estimate       S.E.  Est./S.E.    P-Value

    AUTH2              0.863      0.037     23.212      0.000


QUALITY OF NUMERICAL RESULTS

     Condition Number for the Information Matrix              0.512E-04
       (ratio of smallest to largest eigenvalue)


     Beginning Time:  15:02:44
        Ending Time:  15:02:44
       Elapsed Time:  00:00:00



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